Multiple Regression Analysis

eLearning Price: $ 30

You will learn how to structure your data for analysis, how to interpret your results, and how to use your validated results to make predictions about future performance. To illustrate how to conduct multiple regression analysis a promotional marketing case study is used to guide your understanding.

Full Description

You will learn how to structure your data for analysis, how to interpret your results, and how to use your validated results to make predictions about future performance.  To illustrate how to conduct multiple regression analysis a promotional marketing case study is used to guide your understanding.  This course is worth 2 CEU credit hours.

Learning Outcomes

  • You will understand how to structure your data for a regression analysis.
  • You will understand how to interpret the results and make sound business decisions based on those results.
  • You will know how to use either Minitab or JMP Statistical Software tools for regression analysis.
  • You will understand how to apply the validated results from your regression analysis to make predictions about future performance.

Suggested Background

  • Basic understanding of MS Office or OpenOffice.org productivity suites and Windows XP, Vista, or System 7 operating systems.
  • Have a licensed copy or 30 day free trial version of either Minitab Statistical Software or JMP Statistical Software

Course Contents

Course Outline

  • Course Introduction and Outline
  • Toolkit Download of support materials
  • Multiple Regression Analysis
  • Multi-Colinearity
  • Software Demonstrations of Multiple Regression Analysis
    • Minitab
    • JMP
  • Movies
    • Multiple Regression Interpretation
    • How to deal with Multi-Colinearity
  • Making Predictions using Valid Multiple Regression Models
  • Multiple Regression Final Exam

Recent Blog Post

Apr 23, 2012
Multi-Vari Studies, How to Quickly Find 85% of the Variation in a Product or Service

The name “Multi-Vari” was given to this form of analysis by L.A. Seder in his classic paper “Diagnosis with Diagrams,” which appeared in Industrial Quality Control in January and March 1950.  The premise is to utilize graphics to understand where the variation in a process exists.  Is it...

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