0Linear Regression
A Linear regression is a Regression Analysis technique which is used for modeling the predictions on the continuous data.
A Linear Regression can be modelled using
1. A Simple Regression technique
2. A multi regression technique
1. Simple Regression: It is a kind of regression technique where we have a single independent variable(X) and a single dependent variable(Y).
The main aim of this kind of modelling is to develop a regression line of the following form
Y=mX+c
Y -> Dependent Variable
m -> slope
X -> Independent Variable
c -> Y-intercept
2. Multi Regression: It is a kind of regression technique where we have multiple independent variable(X1,x2,x3...) and a single dependent variable(Y).
The main aim of this kind of modelling is to develop a regression line of the following form
Y=c+m1X1+m2X2+...
Y -> Dependent Variable
m -> slope
X1,X2,X3...-> Independent Variables
c -> Y-intercept
