Direct Mail Case Study

The Direct Mail case study and data.


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Regression and Forecasting:

Use exploratory data analysis and regression to determine whether sales or lag-sales are related to a direct mail campaign.

JMP features demonstrated:

Graph > Graph Builder, Fit Y by X (Bivariate), and Formula Editor

Statistical/graphical tools used:

Time series plots, simple linear regression, creating lagged variables, predicted values and prediction intervals.

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This collection of business case studies was provided by Marlene Smith at the UC Denver Business School.

Note: Updated to JMP 12 May 13, 2015.