Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

This is a preview. Log in through your library . Abstract This article studies a new procedure to test for the equality of k regression curves in a fully non-parametric context. The test is based on ...

This article presents a procedure for estimating the true error variance σ2 3 after two preliminary tests of significance in ANOVA Model II and considers its ...

Tracie Lee, a lecturer in the College of Business and Economics, has significantly expanded educational resources for students by recording 21 new Excel tutorial videos for McGraw Hill.

In this workshop we look at where we have more than one predictor in our linear model. Start by downloading labC05.Rmd and load it into RStudio. Any text in italics reminds you that you need to have a ...