MATH 533 Week 7 Course Project AJ Davis Department Stores (Part C)/UOPHELP

MATH 533 Week 7 Course Project: AJ Davis Department Stores (Part C)Click Here to Buy the Tutorialhttp://www.uophelp.com/MATH-533/product-15509-MATH-533-Week-7-Course-Project:-AJ-Davis-Department-Stores-(Part-C)For more course tutorials visitwww.uophelp.comProject Part C: Regression and Correlation AnalysisYour Instructor will specify for you the dependent variable and the independent variables inyour Case and data. Using MINITAB perform the regression and correlation analysis for thedata by answering the following.1. Generate a scatterplot for the specified dependent variable and the specified independentvariable, including the graph of the "best fit" line. Interpret.2. Determine the equation of the "best fit" line, which describes the relationship between thedependent variable and the selected independent variable.3. Determine the coefficient of correlation. Interpret.4. Determine the coefficient of determination. Interpret.5. Test the utility of this regression model (use a two tail test with the α provided by yourInstructor). Interpret your results, including the p-value.6. Based on your findings in 1-5, what is your opinion about using the designatedindependent variable to predict the designated dependent variable? Explain.7. Compute the confidence interval for beta-1 (the population slope), using the confidencelevel specified by your Instructor. Interpret this interval.8. Using an interval, estimate the average for the dependent variable for a selected value ofthe independent variable (to be provided by your Instructor). Interpret this interval.9. Using an interval, predict the particular value of the dependent variable for a selected valueof the independent variable (to be provided by your Instructor). Interpret this interval.10. What can we say about the value of the dependent variable for values of the independentvariable that are outside the range of the sample values? Explain your answer.In an attempt to improve the model, we will attempt to do a multiple regression modelpredicting the dependent variable based on all of the independent variables.11. Using MINITAB run the multiple regression analysis using the designated dependent andindependent variables. State the equation for this multiple regression model.12. Perform the Global Test for Utility (F-Test). Explain your conclusion.13. Perform the t-test on each independent variable. Explain your conclusions and clearlystate how you should proceed. In particular, which independent variables should we keep andwhich should be discarded. If any independent variables are to be discarded, re-run themultiple regression, including only the significant independent variables, and include thefinal Minitab output, with interpretation.14. Is this multiple regression model better than the linear model that we generated in parts 1-10? Explain.14.99. All DeVry University policies are in effect, including the plagiarism policy.

16. Project Part C report is due by the end of Week 7.17. Project Part C is worth 100 total points. See grading rubric below.Summarize your results from 1-14 in a report that is three pages or less in length and explainsand interprets the results in ways that are understandable to someone who does not knowstatistics.Submission: The summary report + all of the work done in 1-14 (Minitab Output +interpretations) as an appendix.Format for report:A. Summary ReportB. Points 1-14 addressed with appropriate output, graphs and interpretations. Be sure tonumber each point 1-14.