The Housing Prices case study and data sets.
Download the case studyDownload the data set - 1Download the data set - 2
Multiple Regression - Multicollinearity and Model Building:
Determine which factors relate to the selling prices of homes located in and around a ski resort, and develop a model to predict housing prices.
JMP features demonstrated:
Analyze > Fit Model, Analyze > Multivariate Methods > Multivariate.
Statistical/graphical tools used:
Scatterplot matrix, pairwise and partial correlations, multiple regression, VIFs, stepwise regression, model diagnostics.
This collection of business case studies was provided by Marlene Smith at the UC Denver Business School.
Note: Posted Rev 1 Dec 15, 2015 (fixed a typo at the bottom of page 8).
Note: Updated to JMP 12 May 13, 2015.