1. In a multiple regression, predictor variables (X variables) that are positively correlated with the Y variable will increase R-square if they are added to the model while predictor variables that are negative correlated with the Y variable will decrease R-square.

True or False

2. Like R-sq, as we add an X variable to the model adjusted R-sq will always go up but not necessarily as much as R-sq.

True or false

3. With forward stepwise, any variable picked on at a given step remains retained in future steps.

True or False