When techniques designed to include ordinal level variables in regression analysis, the price one pays is:
A) a weakened ability to predict independent variable values
B) a weakened ability to predict dependent variable values
C) minimal, ordinal level variables are sufficient
D) none of the above

Question

Quizplus · Accepted Answer

Including ordinal level variables as numerical predictors in regression analysis can lead to a weakened ability to predict the dependent variable values because the assumption of equal distances between values is violated. This can result in inaccurate coefficient estimates and biased predictions. Therefore, alternative methods like polynomial regression or breaking the ordinal variable into categories may be used to address this issue.

When Techniques Designed to Include Ordinal Level Variables in Regression