What is the major difference between a simple linear regression model and a multiple linear regression model?
A)In simple linear regression you can only have quantitative explanatory variables.In multiple linear regression you can have quantitative and categorical explanatory variables.
B)In simple linear regression you have many explanatory variables.In multiple linear regression you have only one explanatory variable.
C)In simple linear regression you have only one explanatory variable.In multiple linear regression you can have many explanatory variables.

Question

Quizplus · Accepted Answer

The major difference between a simple linear regression model and a multiple linear regression model is that in a simple linear regression model you can have only one explanatory variable, while in a multiple linear regression model you can have many explanatory variables. Therefore, choice C is the correct answer.

What Is the Major Difference Between a Simple Linear Regression