Advantages and Disadvantages of Linear Regression

Linear regression is a simple Supervised Learning algorithm that is used to predict the value of a dependent variable(y) for a given value of the independent variable(x) by effectively modelling a linear relationship(of the form: y = mx + c) between the input(x) and output(y) variables using the given dataset.

Linear regression has several applications :

Prediction of housing prices.
Observational Astronomy
Finance

In this article we will be discussing the advantages and disadvantages of lin...