Model fit, residuals, and prediction

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Multiple and Logistic Regression

MULTIPLE AND LOGISTIC REGRESSION

Model fit, residuals, and prediction Ben Baumer Instructor

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Multiple and Logistic Regression

DataCamp

Multiple and Logistic Regression

Model Fit Recall: R2 = 1 −

SSE SST

SSE get smaller ⇒ R 2 increases As p (number of explanatory variables) increases... Solution: R2adj = 1 −

SSE SST

⋅

n−1 n−p−1

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Fitted values # returns a vector predict(mod) # returns a data.frame augment(mod)

Multiple and Logistic Regression

DataCamp

Multiple and Logistic Regression

DataCamp

Predictions new_obs