The mean square error criterion suggests a framework for thinking about the problem of multicollinearity in a linear model. To this end we present some examples to illustrate the linkage of the mean ...

Alexander M. Samarov, Bounded-Influence Regression via Local Minimax Mean Squared Error, Journal of the American Statistical Association, Vol. 80, No. 392 (Dec., 1985), pp. 1032-1040 ...

8.2. Linear regression with a single explanatory variable There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it ...