About this document
Multiple Linear Regression Explained by Sourabh Singh is a document available to read on EtoBox.
The document discusses multiple linear regression models. Multiple linear regression generalizes simple linear regression by allowing the dependent variable to depend on more than one independent variable. It also allows shapes other than straight lines, though not arbitrary shapes. The key aspects covered are: 1) The multiple linear regression model expresses the dependent variable as a linear combination of the independent variables plus an error term. 2) Assumptions made about the error term include t
- Author
- Sourabh Singh
- Language
- EN