Stepwise regression is useful if a researcher has many independent variables and wants to narrow the set down to a smaller number of statistically significant variables.

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This statement is true. Stepwise regression is a statistical method used to identify a subset of independent variables that are correlated with a dependent variable. It involves sequentially adding or removing variables based on their statistical significance. This can help a researcher to identify the most important variables for predicting the outcome of interest, and to avoid overfitting the model by including too many variables.

Stepwise Regression Is Useful If a Researcher Has Many Independent