What are the basic assumptions to be made for linear regression?

What are the basic assumptions to be made for linear regression?



Answer:

The assumptions of linear regression are,

(1) linear association between input and output variable
(2) normally distributed errors and
(3) independence of error term with input

Popular posts from this blog

Is rotation necessary in PCA? If yes, Why? What will happen if you don't rotate the components?

After analyzing the model, your manager has informed that your regression model is suffering from multicollinearity. How would you check if he's true? Without losing any information, can you still build a better model?

What does Latency mean?