Homoskedastic refers to a condition in which the variance of the error term in a regression model is constant. Learn more about its importance and how it is used.

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

Calculating a Least Squares Regression Line: Equation, Example, Explanation If you want a simple explanation of how to calculate and draw a line of best fit through your data, read on!

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

Predicting the Future The most common use of regression in business is to predict events that have yet to occur. Demand analysis, for example, predicts how many units consumers will purchase.

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...

Three Common Modeling Tricks Interactions The standard linear regression model does not apply when the effect of one explanatory variable on the dependent variable depends on the value of another ...

Hedonic regression applies regression analysis to estimate the relative impact of the variables that affect the price of a good or service.

In the example below, I use an e-commerce data set to build a regression model. I also explain how to determine if the model reveals anything statistically significant, as well as how outliers may ...