Linear Regression and its types

 Linear 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