Linear Regression Equation
What is linear regression?
If we want to evaluate the relationship between two variables, we use linear regression analysis. These two variables are the Dependent and the Independent variables.
The dependent variable, also known as the explained variable, is the main variable here.
The independent variable is also known as the explanatory variable. The change in this variable is used to explain the change in the dependent variable.
So, how do we relate the dependent variable with the independent variable? We do it using the simple linear regression model.
Mathematically, the linear relationship between dependent and independent variables is explained by the following equation:
Y= a + bx
Y = dependent variable or explained variable
a = regression intercept term
b = regression slope coefficient
x = independent or explanatory variable