The binary variable interaction regression
A)can only be applied when there are two binary variables, but not three or more.
B)is the same as testing for differences in means.
C)cannot be used with logarithmic regression functions because ln(0)is not defined.
D)allows the effect of changing one of the binary independent variables to depend on the value of the other binary variable.

Question

Quizplus · Accepted Answer

The binary variable interaction regression allows the effect of changing one binary independent variable to depend on the value of the other binary variable. It can be used with logarithmic regression functions, and it is not limited to just two binary variables. Testing for differences in means is a separate statistical test.

The Binary Variable Interaction Regression