INSTRUCTIONS: You are to work independently on this assignment. Each question involves statistical inference regarding bivariate relationships. In addition to providing relevant MINITAB 17 output, clearly state your conclusion within the context of the question. Use the Help feature in MINITAB 17 to read descriptions for the data sets. This assignment is worth 50 points.
1. Use the data set OPENHOUSE.MTW in the Student 14 folder. Perform the Chi Square test for independence to determine whether style of home and location are related. Use α = 0.05. Explain your results.
2. Use the data set SALARY.MTW in the Student12 folder. Perform the Chi
Square test for independence to determine whether gender and department are related. Use . Explain your results.
3. Use the data set SCHOOLSDATA.MTW in the Student 14 folder.
(a) Is dropout rate significant in explaining the percentage of students going to college (%College) at ? Explain your conclusion.
(b) Display the 95% confidence interval on the fitted line plot. To do this go to STAT > Regression > Fitted Line Plot > Options > check Display confidence interval.
(c) Display the 95% prediction interval on the fitted line plot. Follow the same steps in part (b) except check Display prediction interval.
(d) Discuss how the intervals differ from each other and why.
(e) Construct residual plots for this model and interpret.
(f) Is average SAT verbal score significant in explaining the percentage of students going to college (%College) at ? Is this a better independent variable to use than dropout rate? Explain your conclusion.
(e) Construct residual plots for this model and interpret.
Attachment:- Assignment.zip