Using forward selection regression will always result in a model in which all of the independent variables are statistically significant.

Question

Quizplus · Accepted Answer

Forward selection regression does not guarantee that all selected independent variables will be statistically significant. It adds variables based on a criterion (like p-value), but this does not ensure that all variables in the final model will have p-values below the significance level, especially as the model complexity increases and potential multicollinearity issues arise.

Using Forward Selection Regression Will Always Result in a Model