One of the most important problems in regression analysis is the selection of predictors in the model. The resoson behind this is we are often not satisfied with the least squares estimates.

A good regression model can more accurately predict the values of the dependent variable we want to predict. Performance evaluation helps us to understand how well the model can predict. Moreover, when choosing between regression models, performance evaluation helps us to identify which of the …

In R, Python, and other programming languages, functions will output without any errors if you fill in their arguments and run them correctly. However, having an output never guarantees that it will be the correct output. For this reason, you should know how to interpret the outputs correctly, not …