Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

The problem of assessing influence and detecting influential cases in multiple linear regression with incomplete data is considered. A case is said to be influential if appreciable changes in fitted ...

DTSA 5011 Modern Regression Analysis in R DTSA 5011 Modern Regression Analysis in R Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, ...

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 ...

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, ...