If a polynomial model has a larger R-square than a linear model for the same set of data, this is one indication that the polynomial model fits the data better than the linear model.

Question

Quizplus · Accepted Answer

R-square measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). A higher R-square value indicates a better fit to the data, so if a polynomial model has a larger R-square than a linear model for the same data, it suggests the polynomial model fits the data better.

If a Polynomial Model Has a Larger R-Square Than a Linear