The logarithm transformation can be used
A)to overcome violations to the autocorrelation assumption.
B)to test for possible violations to the autocorrelation assumption.
C)to change a nonlinear model into a linear model.
D)to change a linear independent variable into a nonlinear independent variable.

Question

Quizplus · Accepted Answer

The logarithm transformation can be used to transform a nonlinear relationship between the dependent and independent variables into a linear relationship. This can be useful for linear regression models that assume a linear relationship between the variables. It is not used to overcome violations to the autocorrelation assumption or to test for them. It is also not used to change a linear independent variable into a nonlinear independent variable.

The Logarithm Transformation Can Be Used