In a forward selection stepwise regression process, the first variable to be selected will be the variable that can, by itself, do the most to explain the variation in the dependent variable. This will be the variable that provided the highest possible R-square value by itself.

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In forward selection stepwise regression, the process starts by selecting the single predictor variable that has the strongest relationship with the dependent variable, which is determined by the highest R-square value when that predictor is used in a simple linear regression model.

In a Forward Selection Stepwise Regression Process, the First Variable