A researcher is studying the effect of 10 different variables on a critical measure of business performance. In selecting the best set of independent variables to predict the dependent variable, the stepwise regression technique is used. How are variables selected for inclusion in the model?

Highest increase in the multiple R2

Step-by-step explanation:

Highest increase in the multiple R2

In the stepwise regression technique, variables selected for inclusion in the model are based on Highest increase in the multiple R2.

also, Select the variable that has the highest R-Squared. At each step, select the candidate variable that increases R-Squared the most. Stop adding variables when none of the remaining variables are significant.

none of the above.

for one of the equations to be used in the process, there has to be a term in the equation since squared is .

since there is only a term in the first equation, we cannot derive a from completing the square.

solving with completing the square

no one knows lol

step-by-step explanation: