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 ...

2. Multiple Linear Regression Multiple Linear Regression is a method for predicting one outcome variable by considering the combined influence of two or more predictor variables.

Julie Barber, Simon Thompson, Multiple regression of cost data: use of generalised linear models, Journal of Health Services Research & Policy, Vol. 9, No. 4 (October 2004), pp. 197-204 ...