Will include pictures of all the questions
Problem | Data | Page | PO’s Required |
12.60abc | BLKFRI | 724 | (1) Model Result |
12.65abcde | NYOJ | 726 | (3) Scatterplot, First-Order Model Result, Second-Order Model Result |
12.69ab | 731 | ||
12.92abcdef | WAGAP | 742 | (1) Interaction Model Result |
12.107abcdef | WAGAP | 750 | (3) Sketch for b, Sketch for d, Subset F-Test Result |
12.111abc | 757 | ||
12.117abcdef | 758 | ||
12.133 | WAGAP | 780 | (6) Model Result and All Assumption Plots |
“Problem 9+10” | (6) Model Result and All Assumption Plots |
Problem 9+10: Use one of the in-class data files listed as acceptable in the “STATISTIX Data Files for HW Problems” section of Canvas to fit a linear regression model (the nature of the model is your choice, but it must be a model we have covered and it must be a model that makes sense). For this regression model, produce the model result (think estimated betas), as well as all five assumption plots: residuals vs. independent variables, residuals versus y-hat, stem & leaf plot of standardized residuals, listing of standardized residuals, and time series plot of residuals. This is 6 plots in total: one model result and five assumption plots. Once you have produced these plots and have included them in your file, indicate (below each assumption plot) whether an issue has been observed and what you should do to fix it (if there is an issue). As always, we are looking for extreme departures from the ideal plots (i.e., extreme departures from plots without assumption issues).
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