Lesson 5: Applied Regression Analysis (1 of 2)

January 29, 2018

Review:

  • Multiple Regression
  • Tutoring Available
    • David Mould
    • Mondays 11:15-1:15
    • HSB 110
  • Exam 1 on Wed, Feb 7

Presentation:

  • Applied Regression Analysis
    • Multicollinearity
    • Interaction Variables
    • F-Statistic
    • Demonstration with Sample Real Estate data
    • Estimate selling price for a 1500 sqft, 3 bd, 2 ba home

Assignment:

  • Build a regression model to estimate Real Estate selling prices
    • Use this data set Pueblo RE East Side
    • Use an interaction variable to avoid multicollinearity
    • Use your regression model to estimate selling prices for these 4 properties
      • Belmont 3 BR, 2 BA, 1600 SqFt
      • Belmont 4 BR, 3 BA, 2400 SqFt
      • East Side 3 BR, 1 BA, 1200 SqFt
      • East Side 2 BR, 1 BA, 800 SqFt
    • Prepare a 1-page summary
      • Regression output
      • y-hat equation
      • 4 property Selling Price estimates
    • Due Wed in class

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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