Evaluating different regression models

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Which of the following statements about regression is TRUE? O A. The multiple linear regression model is the least popular model for making predictions but it is the most popular for the data mining goal of classification. B. In multiple regression, the average of the squared error enables us to compare different models and assess the predictive accuracy of the models. O C. If the data mining goal is to predict the selling price of a used Toyota Corolla, multiple regression model cannot help--but logistic regression can help. O D. R-square is more helpful than adjusted R-square for comparing and evaluating many different regression models to choose the best model. O E. Regression coefficients are less stable for parsimonious models.

Reference no: EM132844618

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