The difference between multiple regression and simple regression is that
A) multiple regression can have more than one dependent variable.
B) multiple regression can have more than one independent variable.
C) multiple regression does not produce a correlation coefficient.
D) both b and c

Question

Quizplus · Accepted Answer

The difference between multiple regression and simple regression is that multiple regression can have more than one independent variable, while simple regression only has one. Multiple regression can still only have one dependent variable. The statement that multiple regression does not produce a correlation coefficient is not entirely accurate; while it does not produce a single correlation coefficient like simple regression, it can produce multiple coefficients of determination (R-squared values) for each independent variable in the model. Option D is partially correct but not the best answer because the statement about correlation coefficient is inaccurate.

The Difference Between Multiple Regression and Simple Regression Is That