Simple Linear Regression in Machine Learning
Simple Linear Regression is a type of Regression algorithms that models the relationship between a dependent variable and a single independent variable. The relationship shown by a Simple Linear Regression model is linear or a sloped straight line, hence it is called Simple Linear Regression.
Simple Linear regression algorithm has mainly two objectives:
Model the relationship between the two variables. Such as the relationship between Income and expenditure, experience and Salary, etc.
Forecasting new observations. Such as Weather forecasting according to temperature, Revenue of a company according to the investments in a year, etc.
