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Housing Prices Case Study

The Housing Prices case study and data sets.


Download the case study
Download the data set - 1
Download 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.

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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.