Beside the model, the other input into a regression analysis is some relevant sample data ... [1] Why is it valuable to be able to unravel linear relationships? Some interesting relationships are ...

The main distinction between different types of regression model is that they are used for different types of outcome (eg, linear regression for a continuous outcomes and a logistic regression for a ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

In this module, we will learn how to diagnose issues with the fit of a linear regression model. In particular, we will use formal tests and visualizations to decide whether a linear model is ...

How far individual values are from the mean may provide insight into how much variation exists and how well the values fit a regression line. As noted above, if the line in the linear model ...

12 A multivariable general linear model (GLM ... predictor variables within the model are used simultaneously requiring lengthy calculations (particularly when there are many predictor variables).