The linear regression task fits a linear model to predict a single continuous dependent variable from one or more continuous or categorical predictor variables. This task produces statistics and graphs for interpreting the results.
Simple Linear Regression
Y = a + b X
Where Y is the dependent variable that we want to predict its value, a is the intercept, b is the coefficient, and X is the independent variable. The error is ignored.