Use the maximum likehood method in deriving the error variance in regression

Explain the advantages of all-subsets regression over stepwise regression.

The standard error estimate is computed as the square root of the mean squared error and it is a standard deviation of the errors. It is therefore useful for to making a judgment about the fit of regression model in conjunction with the assumption that the model is linear the error terms are normally distributed the error terms are independent the error terms have constant variance

How to do a multi regression model using excel