Description
Put the following equation in slope-intercept form:
PLEASE ENTER ANSWER ALGEBRAIC EXPRESSION...
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
Thank you for the opportunity to help you with your question!
Please upload the equation
In the meantime
slope intercept form is
y=mx+c
Please let me know if you need any clarification. I'm always happy to answer your questions.Completion Status:
100%
Review
Review
Anonymous
Just what I was looking for! Super helpful.
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
6 pages
Quick Algebra Questions
Find a local building and estimate its height. How tall do you think the building is? The smallest building in town is abo ...
Quick Algebra Questions
Find a local building and estimate its height. How tall do you think the building is? The smallest building in town is about 50 ft. high.
Math 112 Embry Riddle Aeronautical University The Area Under a Graph Calculus Ques
THIS IS A THREE IN ONE DISCUSSION ASSIGNMENT. IT CONTAINS MODULE 7, MODULE 8 AND MODULE 9 DISCUSSION. Please kindly solve ...
Math 112 Embry Riddle Aeronautical University The Area Under a Graph Calculus Ques
THIS IS A THREE IN ONE DISCUSSION ASSIGNMENT. IT CONTAINS MODULE 7, MODULE 8 AND MODULE 9 DISCUSSION. Please kindly solve differently or number them separately when solving. 1. For this discussion, you will work in groups to find the area and answer questions.Find the approximate area under the curve by dividing the intervals into 𝑛subintervals and then adding up the areas of the inscribed rectangles. The height of each rectangle may be found by evaluating the function for each value of x. Your instructor will assign you 𝑛1and 𝑛2.𝑦=2𝑥𝑥2+1‾‾‾‾‾‾√ between 𝑥=0 and 𝑥=6 for 𝑛1and 𝑛2Find the exact area under the curve using integration 𝑦=2𝑥𝑥2+1‾‾‾‾‾‾√between 𝑥=0 and 𝑥=6Explain the reason for the difference in your answers.2.For this discussion, you will work in groups to visualize the area under a curve using the online graphing tool Desmos. You will use the Desmos applet for a definite integral. To get started:First, review the Learn Desmos: Integrals video (desmos 1:51) (Links to an external site.) for a few pointers on using Desmos.Then, access the Definite Integral tool (Links to an external site.) from the Desmos site as a guest. You don't need to create an account or sign in to the site.Use the Definite Integral tool to explore the area under a curve. Complete the following.Replace the default equation with 𝑓(𝑥)=3𝑥5−2𝑥3.First, set the limits as 𝑎=1 and 𝑏=2. You may need to zoom in or out to see the graph and the shaded region.Then, experiment with a and b both being negative.Then, let a be negative and b be positive. Try using the slider and have a and b as decimals.Take a screenshot of one of your cases (including the right column of input information and the graph with the shaded region) to post into the discussion.Find & PostFind ∫21(3𝑥5−2𝑥3)𝑑𝑥 and share the steps you used to get it.undefinedcheckundefinedPost your step-by-step work and a screenshot of one of your cases.Question 3.Find an equation for the slant asymptote for the rational function belowf(x)=−3x2−5x3+x+3x2−x+3
SCSU Chapter 5 Linear Regression as A Fundamental Descriptive Tool Discussion
Chapter 5. Linear Regression as a Fundamental Descriptive Tool
Chapter 6. Correlation vs. Causality in Regression Analysis ...
SCSU Chapter 5 Linear Regression as A Fundamental Descriptive Tool Discussion
Chapter 5. Linear Regression as a Fundamental Descriptive Tool
Chapter 6. Correlation vs. Causality in Regression Analysis
Initial Postings: Read and reflect on the assigned readings for the week. Then post what you thought was the most important concept(s), method(s), term(s), and/or any other thing that you felt was worthy of your understanding in each assigned textbook chapter.Your initial post should be based upon the assigned reading for the week, so the textbook should be a source listed in your reference section and cited within the body of the text. Other sources are not required but feel free to use them if they aid in your discussion.
Also, provide a graduate-level response to each of the following questions:
What are types of regression? For each type of regression, give an application. Does your job use any? if so how?. Please cite examples according to APA standards.
MATH 160 Cuyamaca College Regression Line and Absolute Prediction Error Questions
InstructionsProgress CheckUse this activity to assess whether you can: Use StatCrunch to graph a scatterplot with its leas ...
MATH 160 Cuyamaca College Regression Line and Absolute Prediction Error Questions
InstructionsProgress CheckUse this activity to assess whether you can: Use StatCrunch to graph a scatterplot with its least squares regression line and to simultaneously produce the equation of the regression line along with its correlation coefficient, r.Identify the x with the largest absolute prediction error.Explain why a given data point is an outlier.In this activity you will use StatCrunch and embed your results in an essay question. The essay questions are not automatically graded; your instructor will enter the points for these questions later. WARNING: you will need to enter your response to each essay question with every attempt. Your instructor will only grade the essay for your attempt with the highest total score for the automatically graded questions.Discussion BoardUse the Module 27 discussion board (opens in a new tab) to ask questions or provide feedback about the problems in any Module 27 activity - including this lab. Attempt HistoryAttemptTimeScoreLATESTAttempt 125 minutes4 out of 10 ** Some questions not yet graded Correct answers are hidden.Score for this attempt: 4 out of 10 *Submitted May 2 at 10:36amThis attempt took 25 minutes.Learn by DoingSome features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.A list of StatCrunch directions is provided at the bottom of this text-box.ContextThe modern Olympic Games have changed dramatically since their inception in 1896. Are athletes getting better? We will use regression to investigate the change in winning times for one event—the men's 1,500 meter race.VariablesYear: the year of the Olympic Games, from 1896 to 2000.Time: the winning time for the 1,500 meter race, in seconds.Since the winning time depends on the year, the Year since 1896 is the explanatory variable, and the Winning time is the response variable.DataDownload the olympics (Links to an external site.) datafile for the men's 1,500 meter race. Then upload the datafile in StatCrunch. If you need a reminder about how to do this, review the list of StatCrunch directions below.PromptIn the first two questions below, you will use StatCrunch to produce and examine the scatterplot for the olympics datafile. You will also use StatCrunch to find the regression equation and correlation coefficient. List of StatCrunch DirectionsAs you work through numbers 1) and 2) below, refer back to these StatCrunch directions when you need a quick reminder.Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files to Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Copy and Paste StatCrunch Text OutputProduce Scatterplot, LSR Line, Regression Equation, & R (All at the same time!)UnansweredQuestion 1Not yet graded / 3 ptsThese directions assume that you have uploaded the olympics datafile in StatCrunch, and the StatCrunch worksheet with the data is open. If not, please see the Data section above.Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatterplot with the regression line and produce the regression equation with the correlation coefficient - all at the same time (directions)Toggle to the output page with the scatterplot and regression line. Notice that the data has a strong linear association, so it makes sense to use linear regression. (Always check the form of the scatterplot before using linear regression.)Download the StatCrunch output page with your scatterplot and regression line graphed together. (directions)Save the .png file (the graph of your scatterplot and regression line) to your Stats-Class folder. (directions)Embed the .png file for your scatterplot and regression line in the text-box below. (directions)UnansweredQuestion 2Not yet graded / 3 ptsThese directions assume you have produced the Simple linear regression results in a multipage StatCrunch output window. If not please see the previous question.Toggle to the StatCrunch output page with the regression equation, correlation coefficient, and other statistics.Under the heading Simple linear regression results, copy and paste the first five lines (dependent variable, independent variable, linear equation, sample size, and R) into the text-box below. (directions)Simple linear regression results:Dependent Variable: TimeIndependent Variable: Year Time = 994.19341 - 0.39304496 YearSample size: 24R (correlation coefficient) = -0.89075356Question 32 / 2 ptsFor which of the years 1900, 1940, or 2000 is the absolute prediction error the largest? 1900 1940undefinedundefined2000undefinedCorrect. Vertical distance from the regression line is the prediction error. The data point for 2000 is father from the regression line than the other options, so the prediction error is largest.Question 42 / 2 ptsFor the year 1896, the winning time for the men's 1500-meter race is an outlier. In what ways is this data point an outlier? Check all that applyundefinedan outlier with respect to Y=Time Correct. The winning time in 1896 is much larger than the other winning times.undefinedan outlier with respect to X=Yearundefinedundefinedan outlier with respect to the form of the relationship between X and YCorrect. The data point (1896, 273) deviates from the pattern in the rest of the data. It does not follow the strong, negative association or the linear pattern. Score: 4 out of 10
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
Similar Content
How many bugs would have to hit a car to make it stop in it's tracks?
Assuming a car is travelling at 60 mp/h how many bugs would have to hit it before it came to a stop?...
f(x) = x2, with domain [1, ∞)
A)[1, ∞)B)[0, ∞)C)(-∞, 1]D)(-∞, 0]A)[1, ∞)B)[0, ∞)C)(-∞, 1]D)(-∞, 0]...
Help with Simplifying Radicals?
Hi, I'm a Freshman in High School and I'm in Special Topics (it's a math class between Math 1 and Math 2) and we're learni...
Math Geometry NEED HELP ASAP
In a certain electrical company warehouse there were 2000 light switches lined up
along one wall and 2000 employees. At t...
What is the function?
Geometric sequence has a value of 18 & a common ratio of ½. What is the function....
if a is any postivie number then the graph of y=ax^2 will open up
true or false...
Related Tags
Book Guides
We Were Eight Years in Power
by Ta-Nehisi Coates
The Mayor of Casterbridge
by Thomas Hardy
The Nightingale
by Kristin Hannah
Death on the Nile
by Agatha Christie
The Color Purple
by Alice Walker
The Metamorphosis
by Franz Kafka
Hiroshima
by John Hersey
The Lord of the Flies
by William Golding
Team of Vipers
by Cliff Sims
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
6 pages
Quick Algebra Questions
Find a local building and estimate its height. How tall do you think the building is? The smallest building in town is abo ...
Quick Algebra Questions
Find a local building and estimate its height. How tall do you think the building is? The smallest building in town is about 50 ft. high.
Math 112 Embry Riddle Aeronautical University The Area Under a Graph Calculus Ques
THIS IS A THREE IN ONE DISCUSSION ASSIGNMENT. IT CONTAINS MODULE 7, MODULE 8 AND MODULE 9 DISCUSSION. Please kindly solve ...
Math 112 Embry Riddle Aeronautical University The Area Under a Graph Calculus Ques
THIS IS A THREE IN ONE DISCUSSION ASSIGNMENT. IT CONTAINS MODULE 7, MODULE 8 AND MODULE 9 DISCUSSION. Please kindly solve differently or number them separately when solving. 1. For this discussion, you will work in groups to find the area and answer questions.Find the approximate area under the curve by dividing the intervals into 𝑛subintervals and then adding up the areas of the inscribed rectangles. The height of each rectangle may be found by evaluating the function for each value of x. Your instructor will assign you 𝑛1and 𝑛2.𝑦=2𝑥𝑥2+1‾‾‾‾‾‾√ between 𝑥=0 and 𝑥=6 for 𝑛1and 𝑛2Find the exact area under the curve using integration 𝑦=2𝑥𝑥2+1‾‾‾‾‾‾√between 𝑥=0 and 𝑥=6Explain the reason for the difference in your answers.2.For this discussion, you will work in groups to visualize the area under a curve using the online graphing tool Desmos. You will use the Desmos applet for a definite integral. To get started:First, review the Learn Desmos: Integrals video (desmos 1:51) (Links to an external site.) for a few pointers on using Desmos.Then, access the Definite Integral tool (Links to an external site.) from the Desmos site as a guest. You don't need to create an account or sign in to the site.Use the Definite Integral tool to explore the area under a curve. Complete the following.Replace the default equation with 𝑓(𝑥)=3𝑥5−2𝑥3.First, set the limits as 𝑎=1 and 𝑏=2. You may need to zoom in or out to see the graph and the shaded region.Then, experiment with a and b both being negative.Then, let a be negative and b be positive. Try using the slider and have a and b as decimals.Take a screenshot of one of your cases (including the right column of input information and the graph with the shaded region) to post into the discussion.Find & PostFind ∫21(3𝑥5−2𝑥3)𝑑𝑥 and share the steps you used to get it.undefinedcheckundefinedPost your step-by-step work and a screenshot of one of your cases.Question 3.Find an equation for the slant asymptote for the rational function belowf(x)=−3x2−5x3+x+3x2−x+3
SCSU Chapter 5 Linear Regression as A Fundamental Descriptive Tool Discussion
Chapter 5. Linear Regression as a Fundamental Descriptive Tool
Chapter 6. Correlation vs. Causality in Regression Analysis ...
SCSU Chapter 5 Linear Regression as A Fundamental Descriptive Tool Discussion
Chapter 5. Linear Regression as a Fundamental Descriptive Tool
Chapter 6. Correlation vs. Causality in Regression Analysis
Initial Postings: Read and reflect on the assigned readings for the week. Then post what you thought was the most important concept(s), method(s), term(s), and/or any other thing that you felt was worthy of your understanding in each assigned textbook chapter.Your initial post should be based upon the assigned reading for the week, so the textbook should be a source listed in your reference section and cited within the body of the text. Other sources are not required but feel free to use them if they aid in your discussion.
Also, provide a graduate-level response to each of the following questions:
What are types of regression? For each type of regression, give an application. Does your job use any? if so how?. Please cite examples according to APA standards.
MATH 160 Cuyamaca College Regression Line and Absolute Prediction Error Questions
InstructionsProgress CheckUse this activity to assess whether you can: Use StatCrunch to graph a scatterplot with its leas ...
MATH 160 Cuyamaca College Regression Line and Absolute Prediction Error Questions
InstructionsProgress CheckUse this activity to assess whether you can: Use StatCrunch to graph a scatterplot with its least squares regression line and to simultaneously produce the equation of the regression line along with its correlation coefficient, r.Identify the x with the largest absolute prediction error.Explain why a given data point is an outlier.In this activity you will use StatCrunch and embed your results in an essay question. The essay questions are not automatically graded; your instructor will enter the points for these questions later. WARNING: you will need to enter your response to each essay question with every attempt. Your instructor will only grade the essay for your attempt with the highest total score for the automatically graded questions.Discussion BoardUse the Module 27 discussion board (opens in a new tab) to ask questions or provide feedback about the problems in any Module 27 activity - including this lab. Attempt HistoryAttemptTimeScoreLATESTAttempt 125 minutes4 out of 10 ** Some questions not yet graded Correct answers are hidden.Score for this attempt: 4 out of 10 *Submitted May 2 at 10:36amThis attempt took 25 minutes.Learn by DoingSome features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.A list of StatCrunch directions is provided at the bottom of this text-box.ContextThe modern Olympic Games have changed dramatically since their inception in 1896. Are athletes getting better? We will use regression to investigate the change in winning times for one event—the men's 1,500 meter race.VariablesYear: the year of the Olympic Games, from 1896 to 2000.Time: the winning time for the 1,500 meter race, in seconds.Since the winning time depends on the year, the Year since 1896 is the explanatory variable, and the Winning time is the response variable.DataDownload the olympics (Links to an external site.) datafile for the men's 1,500 meter race. Then upload the datafile in StatCrunch. If you need a reminder about how to do this, review the list of StatCrunch directions below.PromptIn the first two questions below, you will use StatCrunch to produce and examine the scatterplot for the olympics datafile. You will also use StatCrunch to find the regression equation and correlation coefficient. List of StatCrunch DirectionsAs you work through numbers 1) and 2) below, refer back to these StatCrunch directions when you need a quick reminder.Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files to Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Copy and Paste StatCrunch Text OutputProduce Scatterplot, LSR Line, Regression Equation, & R (All at the same time!)UnansweredQuestion 1Not yet graded / 3 ptsThese directions assume that you have uploaded the olympics datafile in StatCrunch, and the StatCrunch worksheet with the data is open. If not, please see the Data section above.Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatterplot with the regression line and produce the regression equation with the correlation coefficient - all at the same time (directions)Toggle to the output page with the scatterplot and regression line. Notice that the data has a strong linear association, so it makes sense to use linear regression. (Always check the form of the scatterplot before using linear regression.)Download the StatCrunch output page with your scatterplot and regression line graphed together. (directions)Save the .png file (the graph of your scatterplot and regression line) to your Stats-Class folder. (directions)Embed the .png file for your scatterplot and regression line in the text-box below. (directions)UnansweredQuestion 2Not yet graded / 3 ptsThese directions assume you have produced the Simple linear regression results in a multipage StatCrunch output window. If not please see the previous question.Toggle to the StatCrunch output page with the regression equation, correlation coefficient, and other statistics.Under the heading Simple linear regression results, copy and paste the first five lines (dependent variable, independent variable, linear equation, sample size, and R) into the text-box below. (directions)Simple linear regression results:Dependent Variable: TimeIndependent Variable: Year Time = 994.19341 - 0.39304496 YearSample size: 24R (correlation coefficient) = -0.89075356Question 32 / 2 ptsFor which of the years 1900, 1940, or 2000 is the absolute prediction error the largest? 1900 1940undefinedundefined2000undefinedCorrect. Vertical distance from the regression line is the prediction error. The data point for 2000 is father from the regression line than the other options, so the prediction error is largest.Question 42 / 2 ptsFor the year 1896, the winning time for the men's 1500-meter race is an outlier. In what ways is this data point an outlier? Check all that applyundefinedan outlier with respect to Y=Time Correct. The winning time in 1896 is much larger than the other winning times.undefinedan outlier with respect to X=Yearundefinedundefinedan outlier with respect to the form of the relationship between X and YCorrect. The data point (1896, 273) deviates from the pattern in the rest of the data. It does not follow the strong, negative association or the linear pattern. Score: 4 out of 10
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format, citations and referencing. Refer to the APA manual for appropriate citation.
Earn money selling
your Study Documents