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, ...

By the end of the video, students will be able to (1) recognize the major steps involved in an OpenMx model and (2) translate implementation of a linear regression between a statistical equation, ...

First, the data were analyzed separately with bivariate regression ... the percentage of eye contact, multiple linear regression was used to fit the model. All factors were mean-centered.

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...