Simple Linear Regression Analysis Differs from Multiple Regression Analysis in That

Multiple Choice

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.