The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Some key advantages of linear regression are that it can be used to predict values of the outcome variable and incorporate more than one explanatory variable. The linear regression equation is perhaps ...

A multiple regression formula has multiple slopes (one for each variable) and one y-intercept. It is interpreted the same as a simple linear regression formula—except there are multiple ...

The formula to calculate ... this is just a simple regression and there are models that you can build that use several independent variables called multiple linear regressions.

A multiple regression formula has multiple slopes (one for each variable) and one y-intercept. It is interpreted the same as a simple linear regression formula—except there are multiple ...