Refer to the previous exercise. Conduct a regression analysis of y = RUNS and x = HIT. Does a straight-line regression model seem appropriate? Prepare a report
a. Using graphical ways of portraying the individual variables and their relationship.
b. Interpreting descriptive statistics for the individual variables and their relationship.
c. Viewing standardized residuals to find games with unusual results.
d. Conducting statistical inference about the slope of the relationship.
The Softball data file on the text CD contains the records of a University of Georgia coed intramural softball team for 277 games over a 20-year period. (The players changed, but the team continued.) The variables include, for each game, the team’s number of runs scored (RUNS), number of hits (HIT), number of errors (ERR), and the difference (DIFF) between the number of runs scored by the team and by the other team. Let DIFF be the response variable. DIFF 7 0 means the team won and DIFF 6 0 means the team lost.