Which of the following is not a common pitfall of regression?
A)If the assumptions are not met,the statistical tests may not be valid.
B)Nonlinear relationships cannot be incorporated.
C)Two variables may be highly correlated to one another but one is not causing the other to change.
D)Concluding that a statistically significant relationship implies practical value.
E)Using a regression equation beyond the range of X is very questionable.

Question

Quizplus · Accepted Answer

Nonlinear relationships can be incorporated in regression analysis by using nonlinear regression techniques such as polynomial regression or spline regression. Therefore, it is not a common pitfall of regression. The other options (A, C, D and E) are common pitfalls of regression.

Which of the Following Is Not a Common Pitfall of Regression