Summary

In this chapter, we learned about the following concepts.

Linear regression

• Linear regression is a standard statistical data analysis technique. It determines how a linear relationship exists between a dependent variable and one or more independent variables. There are two types of linear regression: simple linear regression and multiple linear regression.

• In simple linear regression, a single independent variable is used to predict the value of a dependent variable. In multiple linear regression, two or more independent variables are used to predict the value of a dependent variable. The difference between the two is the number of independent variables. In both cases, there is only a single dependent variable.