Operations Management 101: NBA Basketball Score Forecasting

In this video I walk you through how to generate and evaluate 10 different regular season score forecasting models for the 2012 NBA Champion Miami Heat. We examine graphs of the Naive Method, Simple Moving Average, Weighted Moving Average, and Exponential Moving Average forecasts and then calculate three forecast errors for all four models. Within each model, we will analyze different time periods and weightings to select a scoring model containing the least amount of forecast error. We will also discuss interpretations and limitations inherent in this data and methodology.
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com

[@BrandonFoltz]

Sure. Give me a day or two to look over my original spreadsheet. Our results are actually very close so it may just be a number here or there; or even rounding. The mechanic of the calculation was my focus but I will definitely take a look.

[@BrandonFoltz]

You can now find my Excel file on my blog at the link in the description. If you have any other questions please let me know. Thanks!

[@nidmhan9654]

Hello The Excel file doesn't work, how to download it ?

[@oxfordden]

For instance, for the 3-GM SMA (MAD = 9.4392, MSE = 136.557, and MAPE = 10.03%)

[@chaitanyakmr]

Thank You