If $S S E _ {k }$ is the error sum of squares computed from a model with k predictors and n observations, then the mean squared error for the model is $M S E_{k}$ = __________/__________.

Question

If $S S E _ {k }$  is the error sum of squares computed from a model with k predictors and n observations, then the mean squared error for the model is $M S E_{k}$ = __________/__________.

Quizplus · Accepted Answer

The Answer of If $S S E _ {k }$  is the error sum of squares computed from a model with k predictors and n observations, then the mean squared error for the model is $M S E_{k}$ = __________/__________.

If SSEkS S E _ {k }SSEk​ Is the Error Sum of Squares Computed from a Model

If $S S E _ {k }$ Is the Error Sum of Squares Computed from a Model