In multiple regression analysis with n observations and k predictors (or equivalently k+1 parameters), inferences concerning a single parameter $\beta _ { i }$ are based on the standardized variable , which has a t-distribution with degrees of freedom equal to
A) n-k+1
B) n-k
C) n-k-1
D) n+k-1
E) n+k+1

Question

In multiple regression analysis with n observations and k predictors (or equivalently k+1 parameters), inferences concerning a single parameter $\beta _ { i }$ are based on the standardized variable  , which has a t-distribution with degrees of freedom equal to
A) n-k+1 
B) n-k 
C) n-k-1 
D) n+k-1 
E) n+k+1

Quizplus · Accepted Answer

The Answer of In multiple regression analysis with n observations and k predictors (or equivalently k+1 parameters), inferences concerning a single parameter $\beta _ { i }$ are based on the standardized variable  , which has a t-distribution with degrees of freedom equal to
A) n-k+1 
B) n-k 
C) n-k-1 
D) n+k-1 
E) n+k+1

In Multiple Regression Analysis with N Observations and K Predictors βi\beta _ { i }βi​

In Multiple Regression Analysis with N Observations and K Predictors $\beta _ { i }$