The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA. The multiple correlation coefficient is:
A) 0.900
B) 0.930
C) 0.656
D) 0.867
E) 0.949

Question

The information below is from the multiple regression analysis computer output for 28 teams in Major League Baseball. The model is designed to predict wins using attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA.    The multiple correlation coefficient is:
A) 0.900 
B) 0.930 
C) 0.656 
D) 0.867 
E) 0.949

Quizplus · Accepted Answer

The multiple correlation coefficient is indicated by "R" in the output, which is 0.949. This means that there is a strong positive relationship between the predictor variables (attendance, payroll, batting average, home runs, stolen bases, errors, and team ERA) and the criterion variable (wins).

The Information Below Is from the Multiple Regression Analysis Computer