Posts Tagged ‘ multiple linear regression ’

R Tutorial Series: Regression With Interaction Variables

January 23, 2010
By
R Tutorial Series: Regression With Interaction Variables

Interaction variables introduce an additional level of regression analysis by allowing researchers to explore the synergistic effects of combined predictors. This tutorial will explore how interaction models can be created in R.Tutorial Files Before we...

Read more »

R Tutorial Series: Hierarchical Linear Regression

January 15, 2010
By
R Tutorial Series: Hierarchical Linear Regression

Regression models can become increasingly complex as more variables are included in an analysis. Furthermore, they can become exceedingly convoluted when things such as polynomials and interactions are explored. Thankfully, once the potential independe...

Read more »

R Tutorial Series: Multiple Linear Regression

December 8, 2009
By
R Tutorial Series: Multiple Linear Regression

In R, multiple linear regression is only a small step away from simple linear regression. In fact, the same lm() function can be used for this technique, but with the addition of a one or more predictors. This tutorial will explore how R can be used to...

Read more »