Predictor Importance and Model Summary (linear models)

Figure 1. Predictor Importance for model using overfit prevention criterion
Predictor Importance for model using overfit prevention criterion
  1. Click the Predictor Importance view thumbnail.

    The Predictor Importance chart shows that the same three predictors are most important to the model. Given these results, if you are interested in fitting the most parsimonious model while retaining a good model fit, you could try fitting a model with just those three predictors; we will not pursue that here.

    Figure 2. Model Summary for model using overfit prevention criterion
    Model Summary for model using overfit prevention criterion
  2. Click the Model Summary view thumbnail.

For now, it suffices to note that the addition of three more predictors has not increased the adjusted R square.

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