MULTIPLE REGRESSION
Polynomial (Nonlinear) Regression: This model allows for a curvilinear (as opposed to straight line) relation. Both linear and polynomial regression are susceptible to problems when predictions of Y are made outside the range of the X values used to fit the model. This is referred to as extrapolation. Least Squares Estimation (Sec. 11-2) ................
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