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
In simple linear regression, there is only one independent variable in the model. The line equation will be as follows:
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.
The null hypothesis is that there is no linear ...
