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MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 houses.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
Assignment 2: SPSS – Descriptive Statistics
Submit an application of descriptive statistics
within a quantitative business research context that follows the Week 2 ...
Assignment 2: SPSS – Descriptive Statistics
Submit an application of descriptive statistics
within a quantitative business research context that follows the Week 2
Assignment Template. Your application must include the following:
An explanation of the implications of “Scales of Measurement” in quantitative research
A properly stated research question
A “Presentation of Findings” section, to include appropriate
descriptive statistics for nominal (categorical/qualitative) and scale
(ordinal, interval, and ratio) data using appropriately formatted APA
table(s)
One appropriate graph for a nominal variable (e.g., pie chart)
and one appropriate graph for scale (quantitative) variable (e.g.,
histogram)
An Appendix containing the SPSS output (see the Week 2 Assignment Exemplar)
Correct APA formatting, including in-text citations and a separate References page where appropriate
Please Note: You will cut and paste the
appropriate SPSS output into the Appendix. The SPSS output is not in APA
format, so you will need to type the information from the SPSS output
to the appropriate sections of the APA table. You must use the Week 2 Assignment Template to complete this Assignment.
Also, refer to the Week 2 Assignment Rubric for specific grading
elements and criteria. Your Instructor will use this rubric to assess
your work.Submission and Grading InformationTo submit your completed Assignment for review and grading, do the following:
Please save your Assignment using the naming convention “WK2Assgn+last name+first initial.(extension)” as the name.
Click the Week 2 Assignment Rubric to review the Grading Criteria for the Assignment.
Click the Week 2 Assignment link. You will also be able to “View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK2Assgn+last name+first initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
9.06 Conic Sections Unit Exam
Question 1
Find the distance between points (1, 2) and (5, 9).
Question 2
...
9.06 Conic Sections Unit Exam
Question 1
Find the distance between points (1, 2) and (5, 9).
Question 2
Find the distance between points (-3, 8) and (-5, 1).
Question 3
Find the midpoint between points (-4, 2) and (2, -2).
(1, -1)
(0, -1)
(-1, 0)
(1, 0)
2 points
Question 4
Find the midpoint between points (-2, 3) and (-4, -3). (3, 1) (-3, -1) (0, -3) (-3, 0) 2 points
Question 5
The equation represents a __________. parabola circle hyperbola ellipse 2 points
Question 6
What is the directrix of the following graph? y = -1 y = 1 x = 1 x = -1 2 points
Question 7
What is the equation of the following graph?
Question 8
What is the directrix of the following graph?
Question 9
What is the equation of the following graph?
Question 10
What is the equation of a parabola with a directrix x = 8 and focus (-8, 0).
Question 11
What is the equation of a parabola with vertex (0, 0) and directrix y = 12.
Question 12
What is the equation of a parabola with a vertex at (0, 0) and a focus at (0, 6).
Question 13
What is the axis of symmetry for the following parabola? y = 0 x = 0 y = -1 x = -1 2 points
Question 14
What is the equation of the following graph? x2 - y2 = 10 x2 - y2 = 100 x2 + y2 = 10 x2 + y2 = 100 2 points
Question 15
What is the center of the following graph?
Question 16
What is the radius of the following graph?
Question 17
What is the equation of the following graph?
Question 18
What is the equation of a circle with a center at (1, 3) and a radius of 6?
Question 19
What is the equation of a circle with a center at (0, 0) and a radius of 4.5?
Question 20
What is the equation of a circle with a center at (-4, -8) and a radius of 1.9?
Question 21
The point of symmetry for this circle is (0, 0). True False 2 points
Question 22
What is the length of the major axis of the following graph? 6 12 8 10 2 points
Question 23
What is the center of the following graph?
Question 24
What is the equation of the following graph?
Question 25
What are the vertices of the following graph?
Question 26
Write the equation of an ellipse with a major axis of length 8 and co-vertices (0, 3) and (0, -3).
Question 27
Write the equation of an ellipse with vertices (0, 12) and (0, -12) and co-vertices (2, 0) and (-2, 0).
Question 28
Write the equation of an ellipse centered at the origin with foci at (0, -3) and (0, 3) and a major axis of 10.
Question 29
Ellipses have symmetry through both their minor and major axes. True False 2 points
Question 30
What are the asymptotes of the following graph? 2 points
Question 31
What is the equation of the following graph?
Question 32
What is the center of the following graph?
Question 33
What is the equation of the following graph?
Question 34
Write the equation of a hyperbola with vertices at (-3, 0) and (3, 0) and co-vertices (0, 5) and (0, -5).
Question 35
Write the equation of a hyperbola with vertices at (-4, 0) and (4, 0) and co-vertices (0, 5) and (0, -5).
Question 36
Write the equation of a hyperbola with vertices (3, -1) and (3, -9) and co-vertices (-6. -5) and (12, -5).
Question 37
The symmetry of a hyperbola with a center at (h, k) only occurs at y = k and x = h. True False
Module 6 Problem Set
Details:The problems assigned here are intended to give you contextual experience with the types of statistics you will en ...
Module 6 Problem Set
Details:The problems assigned here are intended to give you contextual experience with the types of statistics you will encounter as you conduct your dissertation research. Completing the assigned problems will increase your comfort level with these tools.General Requirements:Use the following information to ensure successful completion of the assignment:This assignment is self-scored.Refer to “Module 6 Problem Set.”Solutions are available.Directions:Complete the problems in “Module 6 Problem Set.”Check your solutions by comparing your answers to the “Module 6 Problem Set Solutions” document.Submit to the instructor a statement indicating that you have completed this assignment.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached problem set and solutions for completion of assignment.
Week 3 320statistics
Attached Files: Heart Rate Data Set.xlsx (16.008 KB) Unit 3: Descriptive StatisticsEvaluation Title: Assignment 3 Rubric ...
Week 3 320statistics
Attached Files: Heart Rate Data Set.xlsx (16.008 KB) Unit 3: Descriptive StatisticsEvaluation Title: Assignment 3 RubricInstructions: In this assignment, you will be required to calculate descriptive statistics for each numeric variable in the Heart Rate DatasetStepsOpen the Heart Rate Dataset in ExcelSort the quantitative variables by class (e.g., Male at-rest heart rate and Female at-rest heart rate)Use the Data Analysis tools of Excel to calculate each of the following statistics:Mean of each quantitative variableSample variance of each quantitative variableSample standard deviation of each quantitative variableCreate a table in Excel that summarizes the statistics for each variable.Transfer your summary results to Word, and briefly explain your calculated results. Additional Instructions:Your assignment should be typed into a Word or other word processing document,formatted in APA style. The assignments must includeRunning head A title page withAssignment nameYour nameProfessor’s nameCourseEstimated time to complete: 3 hours
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MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Housing Price Prediction Worksheet
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 houses.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
Assignment 2: SPSS – Descriptive Statistics
Submit an application of descriptive statistics
within a quantitative business research context that follows the Week 2 ...
Assignment 2: SPSS – Descriptive Statistics
Submit an application of descriptive statistics
within a quantitative business research context that follows the Week 2
Assignment Template. Your application must include the following:
An explanation of the implications of “Scales of Measurement” in quantitative research
A properly stated research question
A “Presentation of Findings” section, to include appropriate
descriptive statistics for nominal (categorical/qualitative) and scale
(ordinal, interval, and ratio) data using appropriately formatted APA
table(s)
One appropriate graph for a nominal variable (e.g., pie chart)
and one appropriate graph for scale (quantitative) variable (e.g.,
histogram)
An Appendix containing the SPSS output (see the Week 2 Assignment Exemplar)
Correct APA formatting, including in-text citations and a separate References page where appropriate
Please Note: You will cut and paste the
appropriate SPSS output into the Appendix. The SPSS output is not in APA
format, so you will need to type the information from the SPSS output
to the appropriate sections of the APA table. You must use the Week 2 Assignment Template to complete this Assignment.
Also, refer to the Week 2 Assignment Rubric for specific grading
elements and criteria. Your Instructor will use this rubric to assess
your work.Submission and Grading InformationTo submit your completed Assignment for review and grading, do the following:
Please save your Assignment using the naming convention “WK2Assgn+last name+first initial.(extension)” as the name.
Click the Week 2 Assignment Rubric to review the Grading Criteria for the Assignment.
Click the Week 2 Assignment link. You will also be able to “View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK2Assgn+last name+first initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
9.06 Conic Sections Unit Exam
Question 1
Find the distance between points (1, 2) and (5, 9).
Question 2
...
9.06 Conic Sections Unit Exam
Question 1
Find the distance between points (1, 2) and (5, 9).
Question 2
Find the distance between points (-3, 8) and (-5, 1).
Question 3
Find the midpoint between points (-4, 2) and (2, -2).
(1, -1)
(0, -1)
(-1, 0)
(1, 0)
2 points
Question 4
Find the midpoint between points (-2, 3) and (-4, -3). (3, 1) (-3, -1) (0, -3) (-3, 0) 2 points
Question 5
The equation represents a __________. parabola circle hyperbola ellipse 2 points
Question 6
What is the directrix of the following graph? y = -1 y = 1 x = 1 x = -1 2 points
Question 7
What is the equation of the following graph?
Question 8
What is the directrix of the following graph?
Question 9
What is the equation of the following graph?
Question 10
What is the equation of a parabola with a directrix x = 8 and focus (-8, 0).
Question 11
What is the equation of a parabola with vertex (0, 0) and directrix y = 12.
Question 12
What is the equation of a parabola with a vertex at (0, 0) and a focus at (0, 6).
Question 13
What is the axis of symmetry for the following parabola? y = 0 x = 0 y = -1 x = -1 2 points
Question 14
What is the equation of the following graph? x2 - y2 = 10 x2 - y2 = 100 x2 + y2 = 10 x2 + y2 = 100 2 points
Question 15
What is the center of the following graph?
Question 16
What is the radius of the following graph?
Question 17
What is the equation of the following graph?
Question 18
What is the equation of a circle with a center at (1, 3) and a radius of 6?
Question 19
What is the equation of a circle with a center at (0, 0) and a radius of 4.5?
Question 20
What is the equation of a circle with a center at (-4, -8) and a radius of 1.9?
Question 21
The point of symmetry for this circle is (0, 0). True False 2 points
Question 22
What is the length of the major axis of the following graph? 6 12 8 10 2 points
Question 23
What is the center of the following graph?
Question 24
What is the equation of the following graph?
Question 25
What are the vertices of the following graph?
Question 26
Write the equation of an ellipse with a major axis of length 8 and co-vertices (0, 3) and (0, -3).
Question 27
Write the equation of an ellipse with vertices (0, 12) and (0, -12) and co-vertices (2, 0) and (-2, 0).
Question 28
Write the equation of an ellipse centered at the origin with foci at (0, -3) and (0, 3) and a major axis of 10.
Question 29
Ellipses have symmetry through both their minor and major axes. True False 2 points
Question 30
What are the asymptotes of the following graph? 2 points
Question 31
What is the equation of the following graph?
Question 32
What is the center of the following graph?
Question 33
What is the equation of the following graph?
Question 34
Write the equation of a hyperbola with vertices at (-3, 0) and (3, 0) and co-vertices (0, 5) and (0, -5).
Question 35
Write the equation of a hyperbola with vertices at (-4, 0) and (4, 0) and co-vertices (0, 5) and (0, -5).
Question 36
Write the equation of a hyperbola with vertices (3, -1) and (3, -9) and co-vertices (-6. -5) and (12, -5).
Question 37
The symmetry of a hyperbola with a center at (h, k) only occurs at y = k and x = h. True False
Module 6 Problem Set
Details:The problems assigned here are intended to give you contextual experience with the types of statistics you will en ...
Module 6 Problem Set
Details:The problems assigned here are intended to give you contextual experience with the types of statistics you will encounter as you conduct your dissertation research. Completing the assigned problems will increase your comfort level with these tools.General Requirements:Use the following information to ensure successful completion of the assignment:This assignment is self-scored.Refer to “Module 6 Problem Set.”Solutions are available.Directions:Complete the problems in “Module 6 Problem Set.”Check your solutions by comparing your answers to the “Module 6 Problem Set Solutions” document.Submit to the instructor a statement indicating that you have completed this assignment.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached problem set and solutions for completion of assignment.
Week 3 320statistics
Attached Files: Heart Rate Data Set.xlsx (16.008 KB) Unit 3: Descriptive StatisticsEvaluation Title: Assignment 3 Rubric ...
Week 3 320statistics
Attached Files: Heart Rate Data Set.xlsx (16.008 KB) Unit 3: Descriptive StatisticsEvaluation Title: Assignment 3 RubricInstructions: In this assignment, you will be required to calculate descriptive statistics for each numeric variable in the Heart Rate DatasetStepsOpen the Heart Rate Dataset in ExcelSort the quantitative variables by class (e.g., Male at-rest heart rate and Female at-rest heart rate)Use the Data Analysis tools of Excel to calculate each of the following statistics:Mean of each quantitative variableSample variance of each quantitative variableSample standard deviation of each quantitative variableCreate a table in Excel that summarizes the statistics for each variable.Transfer your summary results to Word, and briefly explain your calculated results. Additional Instructions:Your assignment should be typed into a Word or other word processing document,formatted in APA style. The assignments must includeRunning head A title page withAssignment nameYour nameProfessor’s nameCourseEstimated time to complete: 3 hours
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