Topic 8: The science (or art?) of fitting and interpreting ...

Recall that the intercept in a multiple regression is the predicted value of y when all predictors are 0. In some cases (e.g., when the predictors have no logical zero, e.g., word frequency, age, income, etc.) it would be more meaningful to have the intercept correspond with the predicted y-value when all predictors are at their mean value ................
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