Simple linear regression analysis differs from multiple regression analysis in that ________.
A) simple linear regression uses only one explanatory variable
B) the coefficient of correlation is meaningless in simple linear regression
C) goodness-of-fit measures cannot be calculated with simple linear regression
D) the coefficient of determination is always higher in simple linear regression

Question

Quizplus · Accepted Answer

Simple linear regression uses only one explanatory variable, while multiple regression analysis uses two or more explanatory variables.

Simple Linear Regression Analysis Differs from Multiple Regression Analysis in That