If an examination of the residuals indicates that the assumptions underlying linear regression are not met,the researcher can transform the variables in an attempt to satisfy the assumptions.

Question

Quizplus · Accepted Answer

This statement is true. Transforming variables can help to satisfy the assumptions of linear regression if they are not already met. Some common transformations include taking the logarithm or square root of a variable, or using a different functional form such as a quadratic equation. Transformations should only be used if they improve the fit of the model and make the residuals more normally distributed with constant variance.

If an Examination of the Residuals Indicates That the Assumptions