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

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

For example, you might use regression analysis to find out how well you can predict a child's weight if you know that child's height. The following data are from a study of nineteen children. Height ...

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 ...

The authors show how to test the goodness-of-fit of a linear regression model when there are missing data in the response variable. Their statistics are based on the L₂ distance between nonparametric ...

The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a dataset.

A two-step nonparametric regression quantile smoothing technique is presented here, combining a standard k-NN technique and a locally linear kernel smoother.