To find which predictors are most helpful in increasing R², we might consider: A)Log transformations. B)Stepwise regression. C)Logistic regression. D)Nonlinear regression.

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Stepwise regression is a suitable method for identifying the most significant predictors that increase the response variable (R²). It involves starting with an initial model that includes all potential predictors and sequentially removing predictors with the least impact until a model with the best predictors is achieved. This method helps in selecting predictors that have a significant impact on the response variable and reduces overfitting. Log transformations, logistic regression, and nonlinear regression are not appropriate for this problem, as they focus on other types of response variables and data structures.

To Find Which Predictors Are Most Helpful in Increasing R2

To Find Which Predictors Are Most Helpful in Increasing R²