Module 4: Regression Modeling Part 1

March 29, 2021

Review:

  • Housekeeping
    • Discussion Boards
    • Grading
    • Uploading Spreadsheets
  • Time Series Analysis

Presentation:

Assignment:

  • Build a Regression Model to predict Real Estate prices
    1. Use East Pueblo RE Sales 2014-2016
    2. Test all variables and select the best combination
    3. Produce a Final Model, aiming to maximize R^2 and F-Statistic
  • Build a Regression Model to estimate MLB winning percentage
    • Use 2013 MLB Team statistics
    • Test all variables and select the best combination
    • Produce a Final Model, aiming to maximize R^2 and F-Statistic
  • Submit Your Assignment
    • Put your final models on two separate worksheets (maybe label one tab “Real Estate” and the other “MLB”) within *one* single Microsoft Excel file (.xlsx).
    • Bb is sort of a disaster when it comes to Excel uploads so please submit using the link below.
    • Upload your Excel file here

Justin

Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.

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