Question

Explain the difference between simple and multiple linear regression.

A. Simple linear regression is faster

B. The difference is in how many independent variables used in the regression model

C. There is no difference

D. There is a difference in the linearity

Answer 1

Answer: Option B. The difference is in how many independent variables used in the regression model

In simple Linear regression, there are one independent variable and one dependent variable , and the model is

Y = a+bX

where X is independent variable and

Y is Dependent variable , and

a and b are regression constants called intercept and slope respectively.

In Multiple linear regression , there is one dependent variable and more than one independent variable, and the model is

Y = a+b₁X₁ +b₂X₂ +b₃X₃ +...

where X_1, X₂, X₃,.... are Independent variable

Y is dependent variable and

a and b_i's are regression coefficient.