Description
Why cant i write it like this?
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
it should be written other way around as follows
(, -∞,-6) becasue -∞ is in left of -6 on number line
Completion Status:
100%
Review
Review
Anonymous
Really helped me to better understand my coursework. Super recommended.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
20 pages
20191115123930gerges Multiple Linear Regression Start
The present study shows data for BMW cars in Germany that include: power in rpm, gas tank in liters, fuel efficiency in 1/ ...
20191115123930gerges Multiple Linear Regression Start
The present study shows data for BMW cars in Germany that include: power in rpm, gas tank in liters, fuel efficiency in 1/100 k
I need assistance with this assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
I need assistance with this assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota. What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.
Rasmussen College Descriptive Statistics Worksheet
Examine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsS ...
Rasmussen College Descriptive Statistics Worksheet
Examine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
Statistics
Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move th ...
Statistics
Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 1 1 pts Edit this QuestionDelete this Question0file_upload_question <p>Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.</p>
<p>The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. </p>
<table border="0">
<tbody>
<tr>
<td>Years <em>x</em>
</td>
<td>1</td>
<td>5</td>
<td>3</td>
<td>10</td>
<td>7</td>
<td>6</td>
</tr>
<tr>
<td>Contribution <em>y</em>
</td>
<td>500</td>
<td>100</td>
<td>300</td>
<td>50</td>
<td>75</td>
<td>80</td>
</tr>
</tbody>
</table>
Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. Years x 1531076Contribution y 500100300507580 Upload Choose a File Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 2 1 pts Edit this QuestionDelete this Question0numerical_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.</p>
<table style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; border: 1px dashed #888888;">
<tbody style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-weight: 400; height: auto; line-height: 24px; min-height: 0px; margin: 0px;">
<tr style="height: 20px;">
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">years of service x</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">0.5</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1.75</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">2.5</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">3.0</td>
</tr>
<tr style="height: 20px;">
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">hourly wage y</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">9.51</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">8.23</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">10.95</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.70</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.75</td>
</tr>
</tbody>
</table>
<p> </p>
Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.years of service x0.511.752.53.0hourly wage y9.518.2310.9512.7012.75Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 3 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/Scatter_diagram_for_quality_characteristic_XXX.svg/1200px-Scatter_diagram_for_quality_characteristic_XXX.svg.png"><br>Based on the scatterplot above, the correlation between process input and quality characteristic is [ Select ]
["negatie", "positive", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 4 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="http://www.conceptdraw.com/solution-park/resource/images/solutions/scatter-diagrams/Graphs-and-Charts-Scatter-Diagrams-Linear-Regression.png"><br>Based on the scatterplot above, the correlation between in-lab crack reading and in-field crack reading is [ Select ]
["positive", "negative", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 5 1 pts Edit this QuestionDelete this Question0numerical_question <img src="http://science-fair-coach.com/wp-content/uploads/2011/12/Slide6.jpg"><br>What is the value of variable 2 if variable 1 is equal 8?Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 6 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <p>Correlation coefficient between the left and right foot was computed and it was found to be 0.896.</p>
<p>If a patient's left foot is cooler than the average, then the patient's right foot is expected to be <select class='question_input' name='question_40020995_53abc86406e2e287d275854673e2d89d'>
<option value=''>
[ Select ]
</option>
["<option value='91822'>cooler</option>", "<option value='83759'>warmer</option>"]
</select>
than average.</p>
Correlation coefficient between the left and right foot was computed and it was found to be 0.896.If a patient's left foot is cooler than the average, then the patient's right foot is expected to be [ Select ]
["cooler", "warmer"] than average.Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 7 1 pts Edit this QuestionDelete this Question0numerical_question <p>On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.</p>
<p>cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00</p>
<p>subway fare 0.15 0.35 1.00 1.35 1.50 2.00</p>
On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00subway fare 0.15 0.35 1.00 1.35 1.50 2.00Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 8 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p>Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, <img class="equation_image" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p>
<p>a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p>
<p><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p>
<p>c) there is not enough data to draw any conclusion<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"></span></p>
Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion a b c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 9 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, <img class="equation_image" style="height: 16px; max-width: 435.52px; vertical-align: middle; border: 0px none #2d3b45;" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;"><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">c) there is not enough data to draw any conclusion</p>
Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion b a c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 10 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question If all data points on its scatter plot are on one line, then the correlation coefficient is equal <select class='question_input' name='question_40020999_5a3641d237e60d3404067d9fcf811ff2'>
<option value=''>
[ Select ]
</option>
["<option value='72553'>1 or -1</option>", "<option value='10454'>1</option>", "<option value='83615'>-1</option>", "<option value='40051'>0</option>", "<option value='50357'>not possible to tell</option>", "<option value='60008'>0.5</option>", "<option value='93076'>-0.5</option>", "<option value='55403'>4</option>"]
</select>
If all data points on its scatter plot are on one line, then the correlation coefficient is equal [ Select ]
["1 or -1", "1", "-1", "0", "not possible to tell", "0.5", "-0.5", "4"] Question 11 1 pts <p>The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.</p>
<p>x 4 5 6</p>
<p>y -8 -10 ?</p>
The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.x 4 5 6y -8 -10 ?Question 12 1 pts <p>Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?</p>
<p>Conclusion: More education causes a person's income to rise.</p>
Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?Conclusion: More education causes a person's income to rise. The conclusion cannot be drawn because correlation does not necessary implies causality. The conclusion is correct since the correlation is significant. The conclusion is incorrect; Instead we should conclude that annual personal income increases more years of education.
MATH 1324 San Jacinto Community College Gen Ed Assessment
Can you please help me out with the questions provided down below. I have provided the assignment and the instructions.
MATH 1324 San Jacinto Community College Gen Ed Assessment
Can you please help me out with the questions provided down below. I have provided the assignment and the instructions.
Similar Content
Univesity of Queensland Statistic Limitations of Stimulation Questions
25624 - Financial Making for Decision Making
Assessment Task 3 – Take Home Examination
Summer 2020
Instructions
This exa...
SEU Method of Numerical Analysis Fixed Point Iteration & Bisection Method
The purpose of this question is research presented to the teacher of mathematics in a course (Method of Numerical Analysis...
can someone help me in maths
simplify5g-2gpxp3p=4pexfx5d+d+d+d+dy square 2 +ysquare 24(3a-7)txt square 2m square 5 : msquare 3a+a+a+a3xbx4simplify comp...
introduction to statistics
someone please take my module 4 exam, go under lionshare than go to courses than go to introduction to statistics than go ...
Two way-ANOVA and Assessment, statistics homework help
PART ONE: TWO WAY-ANOVAFor this Assignment, you use two-way ANOVA with interaction. Be sure to complete all of the parts o...
#32 find the values of x and y
...
Related Tags
Book Guides
Big Magic
by Elizabeth Gilbert
Tess of the DUrbervilles
by Thomas Hardy
Untamed
by Glennon Doyle
The BFG
by Roald Dahl
The Underground Railroad
by Colson Whitehead
Treasure Island
by Robert Louis
The Turn of the Screw
by Henry James
Twelve Years A Slave
by Solomon Northrup
The 5 Love Languages
by Gary Chapman
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
20 pages
20191115123930gerges Multiple Linear Regression Start
The present study shows data for BMW cars in Germany that include: power in rpm, gas tank in liters, fuel efficiency in 1/ ...
20191115123930gerges Multiple Linear Regression Start
The present study shows data for BMW cars in Germany that include: power in rpm, gas tank in liters, fuel efficiency in 1/100 k
I need assistance with this assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
I need assistance with this assignment
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota. What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.
Rasmussen College Descriptive Statistics Worksheet
Examine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsS ...
Rasmussen College Descriptive Statistics Worksheet
Examine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
Statistics
Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move th ...
Statistics
Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 1 1 pts Edit this QuestionDelete this Question0file_upload_question <p>Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.</p>
<p>The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. </p>
<table border="0">
<tbody>
<tr>
<td>Years <em>x</em>
</td>
<td>1</td>
<td>5</td>
<td>3</td>
<td>10</td>
<td>7</td>
<td>6</td>
</tr>
<tr>
<td>Contribution <em>y</em>
</td>
<td>500</td>
<td>100</td>
<td>300</td>
<td>50</td>
<td>75</td>
<td>80</td>
</tr>
</tbody>
</table>
Use Excel or another software to draw the scatter plot for the variables. You can either upload the file or copy the scatterplot into the text box for your answer.The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus's contribution (in dollars) and the years the alumnus has been out of school. The data follow. Years x 1531076Contribution y 500100300507580 Upload Choose a File Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 2 1 pts Edit this QuestionDelete this Question0numerical_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.</p>
<table style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; border: 1px dashed #888888;">
<tbody style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-weight: 400; height: auto; line-height: 24px; min-height: 0px; margin: 0px;">
<tr style="height: 20px;">
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">years of service x</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">0.5</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">1.75</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">2.5</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">3.0</td>
</tr>
<tr style="height: 20px;">
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">hourly wage y</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">9.51</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">8.23</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">10.95</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.70</td>
<td style="min-width: 20px; padding: 2px; margin: 0px; border: 1px dashed #888888;">12.75</td>
</tr>
</tbody>
</table>
<p> </p>
Compute the correlation coefficient between hourly wage and years of service. Rounded to the nearest thousandths. Compare it to the answer of a previous question.years of service x0.511.752.53.0hourly wage y9.518.2310.9512.7012.75Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 3 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/af/Scatter_diagram_for_quality_characteristic_XXX.svg/1200px-Scatter_diagram_for_quality_characteristic_XXX.svg.png"><br>Based on the scatterplot above, the correlation between process input and quality characteristic is [ Select ]
["negatie", "positive", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 4 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <img src="http://www.conceptdraw.com/solution-park/resource/images/solutions/scatter-diagrams/Graphs-and-Charts-Scatter-Diagrams-Linear-Regression.png"><br>Based on the scatterplot above, the correlation between in-lab crack reading and in-field crack reading is [ Select ]
["positive", "negative", "there is no correlation"] Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 5 1 pts Edit this QuestionDelete this Question0numerical_question <img src="http://science-fair-coach.com/wp-content/uploads/2011/12/Slide6.jpg"><br>What is the value of variable 2 if variable 1 is equal 8?Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 6 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question <p>Correlation coefficient between the left and right foot was computed and it was found to be 0.896.</p>
<p>If a patient's left foot is cooler than the average, then the patient's right foot is expected to be <select class='question_input' name='question_40020995_53abc86406e2e287d275854673e2d89d'>
<option value=''>
[ Select ]
</option>
["<option value='91822'>cooler</option>", "<option value='83759'>warmer</option>"]
</select>
than average.</p>
Correlation coefficient between the left and right foot was computed and it was found to be 0.896.If a patient's left foot is cooler than the average, then the patient's right foot is expected to be [ Select ]
["cooler", "warmer"] than average.Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 7 1 pts Edit this QuestionDelete this Question0numerical_question <p>On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.</p>
<p>cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00</p>
<p>subway fare 0.15 0.35 1.00 1.35 1.50 2.00</p>
On Canvas, in session about Correlation and Regression you can find the file "How to test for correlation". Use the data below to evaluate test statistic described there. Round your answer to the nearest thousandths.cost of pizza 0.15 0.35 1.00 1.25 1.75 2.00subway fare 0.15 0.35 1.00 1.35 1.50 2.00Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 8 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p>Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, <img class="equation_image" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p>
<p>a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p>
<p><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p>
<p>c) there is not enough data to draw any conclusion<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"></span></p>
Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.1, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion a b c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 9 1 pts Edit this QuestionDelete this Question0multiple_choice_question <p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, <img class="equation_image" style="height: 16px; max-width: 435.52px; vertical-align: middle; border: 0px none #2d3b45;" title="\alpha=0.01" src="/equation_images/%255Calpha%253D0.01" alt="LaTeX: \alpha=0.01" data-equation-content="\alpha=0.01"> Choose the right conclusion.</p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">a) T<span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">here is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;"> and response </span><em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">.</span></p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;"><span style="display: inline !important; float: none; background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal;">b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">x</em> and response <em style="background-color: transparent; color: #000000; font-family: times new roman,serif; font-size: 15px; font-style: italic; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; padding: 0px; margin: 0px;">y</em></span></p>
<p style="background-color: transparent; color: #2d3b45; font-family: sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; text-align: left; text-decoration: none; text-indent: 0px; white-space: normal; margin: 12px 0px 12px 0px;">c) there is not enough data to draw any conclusion</p>
Using the test describe in "How to test for correlation" (see question above), test the null hypothesis if n=12, t=3.3, α = 0.01 Choose the right conclusion.a) There is not enough evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response y.b) there is sufficient evidence at the α=0.01 level to conclude that there is a linear relationship in the population between the predictor x and response yc) there is not enough data to draw any conclusion b a c Move To... This element is a more accessible alternative to drag & drop reordering. Press Enter or Space to move this question. Flag this QuestionQuestion 10 1 pts Edit this QuestionDelete this Question0multiple_dropdowns_question If all data points on its scatter plot are on one line, then the correlation coefficient is equal <select class='question_input' name='question_40020999_5a3641d237e60d3404067d9fcf811ff2'>
<option value=''>
[ Select ]
</option>
["<option value='72553'>1 or -1</option>", "<option value='10454'>1</option>", "<option value='83615'>-1</option>", "<option value='40051'>0</option>", "<option value='50357'>not possible to tell</option>", "<option value='60008'>0.5</option>", "<option value='93076'>-0.5</option>", "<option value='55403'>4</option>"]
</select>
If all data points on its scatter plot are on one line, then the correlation coefficient is equal [ Select ]
["1 or -1", "1", "-1", "0", "not possible to tell", "0.5", "-0.5", "4"] Question 11 1 pts <p>The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.</p>
<p>x 4 5 6</p>
<p>y -8 -10 ?</p>
The following are data with the correlation coefficient equal negative one (-1). Find the missing entry in the data.x 4 5 6y -8 -10 ?Question 12 1 pts <p>Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?</p>
<p>Conclusion: More education causes a person's income to rise.</p>
Is the following conclusion drawn after finding that there is a significant correlation between annual personal income and years of education true?Conclusion: More education causes a person's income to rise. The conclusion cannot be drawn because correlation does not necessary implies causality. The conclusion is correct since the correlation is significant. The conclusion is incorrect; Instead we should conclude that annual personal income increases more years of education.
MATH 1324 San Jacinto Community College Gen Ed Assessment
Can you please help me out with the questions provided down below. I have provided the assignment and the instructions.
MATH 1324 San Jacinto Community College Gen Ed Assessment
Can you please help me out with the questions provided down below. I have provided the assignment and the instructions.
Earn money selling
your Study Documents