# Multiple Regression Basics

- In simple linear regression, the dependent variable was assumed to be dependent on only one variable (independent variable)
- In General Multiple Linear Regression model, the dependent variable derive sits value from two or more than two variable
- General Multiple Linear Regression model take the following form:

- Where:
- Y
_{i}= i^{th}observation of dependent variable Y - X
_{ki}= i^{th}observation of k^{th}independent variable X - b
_{0}= intercept term - b
_{k}= slope coefficient of k^{th}independent variable - ε
_{i }= error term of i^{th}observation - n = number of observations
- k = total number of independent variables

- Y