The 4 Assumptions which we make for our Linear Regression Model are as follows:

 

   1.  Assumption of Normality 

   2.  Assumption of Independent of observations

   3.  Assumption of linear relationship

   4.  Assumption of Constant Error Variance

 

Now we need to check each assumption of our data to hold true in order to apply our Linear Regression Model. But before checking assumptions we need to add few columns in our dataset like error for our models & predicted value for final  to make plots as shown below