Linear Regression is Predictive model used for finding the linear relationship between a dependent and one or more independent variables. In regression the dependent variable has to be continuous numerical (not categorical like Green, Yellow etc). In Simple linear regression, we have one independent variable and one dependent variable. It is also known as Univariate linear regression, as there is only one independent variable. In Multiple linear regressions, we have more than one independent variable and one dependent variable. It is also known as multivariate linear regression, as there is more than one independent variable. Now our goal is to predict the home price by using the Simple Linear Regression. (Name of the above table is SimpleLinearRegression ) In this table we have the prices of home based on the Area of that home. Here we have to predict the Price based on the given Area. As we are predicting the price based on the area. So, Price is the dependent variable and ...