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Assignment: Factor Trinomials Using Guess and Check
Follow the directions to find the missing side lengths in each problem. Be sure to show all work
necessary to find your answer.
1. A gardener is planning to plant a rectangular vegetable garden during the spring. The
rectangle below represents a plan for the garden with a width of x feet.
x
area = x 2 12x
l
a. Find the length (l) of the rectangle if the area of the rectangle is x 2 12x . (Hint:
Factor the trinomial x 2 12x 0 using the guess and check method.)
b. Find the dimensions (length × width) and the area of the garden if x = 10 feet. (Hint:
Substitute 10 for x in the expressions for length, width, and area.)
© K12 Inc.
2. A city manager wants to add a playground in a new city park. The rectangle below represents the
plan for the dimensions of the rectangular playground.
w
area = x2 + 18x + 45
x + 15
2
a. Find the width (w) of the rectangle if the area of the rectangle is x + 18x + 45.
b. Find the dimensions (length × width) and the area of the playground if x = 8 yards.
© K12 Inc.
3. A construction manager needs to hire workers and order materials for building the
foundation of a house. The rectangle below represents the house’s foundation.
w
area = x 2
40x 300
l
a. Find the length (l) and width (w) of the rectangle if the area of the rectangle is
x2
40x 300 .
b. Find the dimensions (length × width) and the area of the foundation if x = 20 feet.
4. Think of another real-world situation involving a rectangle.
a. Describe what the rectangle represents and find the dimensions of the rectangle in
terms of x, assuming the area is represented by the polynomial x 2 8x 9 .
b. Using a specific value for x, find the dimensions (length x width) and area of the
rectangle.
© K12 Inc.
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Choose two of the following three questions and post your answer:1. In your own words, what is one-way analysis of varian ...
I need it by Sunday morning. ty
Choose two of the following three questions and post your answer:1. In your own words, what is one-way analysis of variance used for (Section 12-2)?2. In your own words, if we want to test for equality of the three means in a sample, why don’t we use three separate hypothesis tests for (Section 12-2)?3. In your own words, what is the main difference between one-way analysis of variance and two-way analysis of variance (Section 12-3)?You may use the information in the textbook or cite a source.
ten strategic points for a replica of the clark and springer study on incivility in the classroom
Directions:Review the 10 Strategic Points constructed in Week 2 and the Clark and Springer (2007) study. Additionally, rev ...
ten strategic points for a replica of the clark and springer study on incivility in the classroom
Directions:Review the 10 Strategic Points constructed in Week 2 and the Clark and Springer (2007) study. Additionally, review the feedback provided by the instructor.Use "Constructing 10 Strategic Points" to develop 10 Strategic Points for a replication of the Clark & Springer study that you could design for an undergraduate psychology program. Be sure to use resources in the DC network>Research/Dissertation tab> Prospectus templates to review the criteria for the purpose, problem, research questions and other Strategic Points.Use the prompts and suggestions contained in the template to guide your work.
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Cuyamaca College Mod 18 Reducing Health Care Costs Questions
PromptThe Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national pr ...
Cuyamaca College Mod 18 Reducing Health Care Costs Questions
PromptThe Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national priority. This year a survey is conducted with a national sample of 1,505 U.S. adults selected by a combination of landline and cell phone random digit dials. This year's survey finds that 70% of the sample says that "reducing health care costs" is a national priority.We test the following hypotheses:H 0: The proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is still 0.68.H a: The proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is greater than 0.68.The P-value is 0.045. At a 5% significance level, we would reject the null hypothesis and concluded that the proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is greater than 0.68.Explain the P-value in the context of this issue.
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.
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I need it by Sunday morning. ty
Choose two of the following three questions and post your answer:1. In your own words, what is one-way analysis of varian ...
I need it by Sunday morning. ty
Choose two of the following three questions and post your answer:1. In your own words, what is one-way analysis of variance used for (Section 12-2)?2. In your own words, if we want to test for equality of the three means in a sample, why don’t we use three separate hypothesis tests for (Section 12-2)?3. In your own words, what is the main difference between one-way analysis of variance and two-way analysis of variance (Section 12-3)?You may use the information in the textbook or cite a source.
ten strategic points for a replica of the clark and springer study on incivility in the classroom
Directions:Review the 10 Strategic Points constructed in Week 2 and the Clark and Springer (2007) study. Additionally, rev ...
ten strategic points for a replica of the clark and springer study on incivility in the classroom
Directions:Review the 10 Strategic Points constructed in Week 2 and the Clark and Springer (2007) study. Additionally, review the feedback provided by the instructor.Use "Constructing 10 Strategic Points" to develop 10 Strategic Points for a replication of the Clark & Springer study that you could design for an undergraduate psychology program. Be sure to use resources in the DC network>Research/Dissertation tab> Prospectus templates to review the criteria for the purpose, problem, research questions and other Strategic Points.Use the prompts and suggestions contained in the template to guide your work.
i need help
lick on the link below for this module's problems. Module 04 Written Assignment
...
i need help
lick on the link below for this module's problems. Module 04 Written Assignment
Make
sure you following all instructions given in the document. All steps
and explanations (when asked) are required for full credit!
Cuyamaca College Mod 18 Reducing Health Care Costs Questions
PromptThe Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national pr ...
Cuyamaca College Mod 18 Reducing Health Care Costs Questions
PromptThe Pew Research Center reported in 2018 that 68% of U.S. adults rated "reducing health care costs" as a national priority. This year a survey is conducted with a national sample of 1,505 U.S. adults selected by a combination of landline and cell phone random digit dials. This year's survey finds that 70% of the sample says that "reducing health care costs" is a national priority.We test the following hypotheses:H 0: The proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is still 0.68.H a: The proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is greater than 0.68.The P-value is 0.045. At a 5% significance level, we would reject the null hypothesis and concluded that the proportion of U.S. adults this year who rate "reducing health care costs" as a national priority is greater than 0.68.Explain the P-value in the context of this issue.
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.
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