Perhaps the most fundamental type of R analysis is linear regression. Linear regression can be used for two closely related, but slightly different purposes. You can use linear regression to predict ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal. This post will show how to estimate and interpret linear ...

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 ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

Ordinary linear regression (OLR ... When should we use them? How GLM works. Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of ...

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described ... need to carefully code them numerically.

R performs many statistical analyses needed in practical applications: linear and generalized linear models, nonlinear regression models, time-series analysis ... in using the R software, you ...