AquaHope Clean Water Initiative: Predicting Donations

This is a fictional data analytics case through which modeling time is explored and implemented. It covers the use of analytical results to justify a business decision. The protagonist believes she and her team are executing a sound plan to increase donations for highly important results, but her supervisor’s analysis is showing a lack of success.

The case includes an Excel file with raw data and the teaching note includes an Excel file with the solution. Please note that students will need in-class access to regression software such as Excel or R.

• Explain when and how time might matter for prediction problems.
• Model time in multiple ways within a regression analysis.
• Interpret time variables within regression analysis.
• Leverage, translate, and effectively communicate analytical results to justify a business decision.
• Discern when it is appropriate to revise a model and when it is not (i.e., p-hacking).