This app explores the use of the Box-Cox Transformation technique in real datasets to make data approximate to normal.
3
Category / Regression
Exploring R-squared
This app helps student learn about the R-squared and Partial R-squared statistics.
Multiplicative Interaction
This app is focused on the Multiplicative Interaction. The student will learn to determine if there is an interaction in the plot and it can help students understand the difference between with interaction and without interaction.
Overfitting
This app challenges the user to explore how one might become overconfident when choosing the best explanatory variable from many choices.
QQ plot
Examine the behavior of Normal quantile-quantile plots under samples from different populations.
Regression Assumptions
This app will allow you to explore how to read diagnostic plots while interacting with different transformations to help you better understand the assumptions of regression.
Variable Selection
This app examines variable selection methods in regression models including the use of the adjusted R-squared, Cp, and BIC criteria as well as the forward, backward, and stepwise selection methods.
Variance Inflation Factor (VIF) & Collinearity
This app explores the Variance Inflation Factor (VIF), the issues of collinearity, and how to determine whether there is a problem.