From the course: Tableau and R for Analytics Projects

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Describe linear regression and multiple regression models

Describe linear regression and multiple regression models

From the course: Tableau and R for Analytics Projects

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Describe linear regression and multiple regression models

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- [Narrator] Linear regression models identify trends in your data, whether it's sales over time, the length of time a customer has made purchases versus yearly sales, and so on. In this movie, I will describe the process behind linear regression models and how to evaluate them. The goal is to create the line of best fit to describe data. So you go through a procedure to generate an equation that is used to draw a line, and the goal is to minimize the total errors over all points. So you want to find the line of best fit, and then you will evaluate it based on how well it does, and you can use one or multiple variables. Let's see an example of linear regression that I have created using sales data. So on the X axis, I have the number of orders, and then that is the number of times a customer bought from us in a given year. And then on the Y or vertical axis, I have the total of their sales. So that would be the…

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