The partial Mega Stat output below is regression analysis of the relationship between annual payroll and number of wins in a season for 28 teams in professional sports. The purpose of the analysis is to predict the number of wins when given an annual payroll in $millions. Although technically not a sample, the baseball data below will be treated as a convenience sample of all major league professional sports. Refer to the printout above. How many degrees of freedom for Residual (Error)?
A) 1
B) 2
C) 26
D) 27
E) 28

Question

The partial Mega Stat output below is regression analysis of the relationship between annual payroll and number of wins in a season for 28 teams in professional sports. The purpose of the analysis is to predict the number of wins when given an annual payroll in $millions. Although technically not a sample, the baseball data below will be treated as a convenience sample of all major league professional sports.  Refer to the printout above. How many degrees of freedom for Residual (Error)?
A) 1 
B) 2 
C) 26 
D) 27 
E) 28

Quizplus · Accepted Answer

Degrees of freedom for Residual (Error) equals the total sample size minus the number of predictor variables, which is 2 in this case. Therefore, degrees of freedom for Residual (Error) is 28 - 2 = 26.

The Partial Mega Stat Output Below Is Regression Analysis of the Relationship