# Summary

Go over a summary of what we have learned in this chapter.

## We'll cover the following

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.

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