CASE STUDY: JMP024

Housing Prices

by Marlene Smith, University of Colorado Denver Business School

Key Concepts: Scatterplot matrix, correlations, multiple regression, stepwise regression, multicollinearity, model building, model diagnostics

Dr. Marlene Smith
University of Colorado Denver

Objective

After determining which factors relate to the selling prices of homes located in and around a ski resort, develop a model to predict housing prices.

Background

A real estate company that manages properties around a ski resort in the United States wishes to improve its methods for pricing homes. Data is readily available on a number of measures, including size of the home and property, location, age of the house, and a strength-of-market indicator.

The Task

After determining which factors relate to the selling prices of homes located in and around the ski resort, develop a model to predict housing prices.

CASE STUDY: JMP024

Housing Prices

Objective

Background

The Task

Use the links below to read the full case study and download the data files