A population regression equation is:
Y = \beta_0 + \beta_1Log(X_1) + \beta_2X_2 + \beta_3X_3
Suppose that \beta_3 is equal to 4.2. This coefficient estimate shows that:
after accounting for the influences of X_1 and X_2, a one point increase in X_3 on
average results in a 4.2 point increase in Y
after accounting for the influences of X_1 and X_2, a one point increase in X_3 on
average results in a 4.2 percent increase in Y
after accounting for the influences of X_1 and X_2, a one percent increase in X_3 on
average results in a 4.2 percent increase in Y
after accounting for the influences of X_1 and X_2, a 1.0 percent increase in X_3 on
average results in a 4.2 point increase in Y