Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

You perform a multiple linear regression analysis when you have more than one explanatory variable for consideration in your model. You can write the multiple linear regression equation for a model ...

Course TopicsThis short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or more explanatory variables. The ...

For example, you might want to predict an employee's salary based on age, height, years of experience, and so on. There are approximately a dozen common regression techniques. The most basic technique ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Leo A. Goodman, A Modified Multiple Regression Approach to the Analysis of Dichotomous Variables, American Sociological Review, Vol. 37, No. 1 (Feb., 1972), pp. 28-46 ...

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been ...