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UC Davis - STA 108 Applied Statistical Methods: Regression Analysis - Sample - Q5 Regression Model MSE

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5. In a study of association between weight (WGT; Y ) and several predictors including height (HGT), age (AGE), and the square of age (AGE2), n children were involved in the study (you don't need to know what n is in order to answer the questions below). The following table is obtained when evaluating the MSE and R2 for different models (i.e., subset of predictors): CourseNana.COM

  CourseNana.COM

Model                           MSE                 R2 CourseNana.COM

HGT                             29.93                 0.6630 CourseNana.COM

AGE                             36.18                 0.5926 CourseNana.COM

AGE2                                          36.63                 0.5876 CourseNana.COM

HGT, AGE                     21.71                 0.7800 CourseNana.COM

HGT,AGE2                               22.07                 0.7764 CourseNana.COM

AGE,AGE2                               40.20                 0.5927 CourseNana.COM

HGT,AGE,AGE2                   24.40                 0.7802 CourseNana.COM

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a. Which regression model has the smallest SSE? Is this model necessarily the best model? Please explain. CourseNana.COM

b. Which regression model is the best? Please explain, including indicating the criterion (criteria) used in selecting the optimal model. CourseNana.COM

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