Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...
Taken from Introduction to Econometrics from Stock and Watson, 2003, p. 215: Y=B0 + B1*ln(X) + u ~ A 1% change in X is associated with a change in Y of 0.01*B1 ln(Y)=B0 + B1*X + u ~ A change in X by ...
Polynomials are commonly used in linear regression models to capture nonlinearities in explanatory variables. It is less common, however, that polynomials are used to shift the regression coefficients ...
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