A good data set to explore linear regression is analyzing the relationship between the number of spaces a property is from GO and the cost of that property (on a classic Monopoly board). This is actually a TI-Nspire activity which can be found on their website.
Linear Regression predict scores on one variable from second variable Linear Regression predicting variable is criterion variable Linear Regression predicting variable is referred to as Y Linear Regression base variable is predictor variable Linear Regression base variable is referred to as X Linear Regression types simple regression - single independent variable Linear Regression types multiple regression – two or more independent variable Linear Regression consists of finding best-fitt
A fun foldable to teach how to find the line of best fit, graph the line of best fit, find the correlation coefficient, graph a residual plot, and determine the goodness of fit. The foldable was created using TI84's new operating system so if you haven't updated your calculators the instructions will not follow along exactly.