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Descriptive and Predictive Analytics: Regression (Digital Learning Experience)

Mehmet A. Begen

Product #:W35313
Supplier:Ivey
Discipline:Management Science
Setting:2024
Details:Digital Learning Experience (Virtual) • 225 min • 2024-01-15

Subjects:

Analytics and data scienceData science
Your Price:$16.95

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In this course Digital Learning Experience, participants will mainly study regression by processing data and making estimates and predictions for the quantities of interest.

Learning Objectives

This DLE is suitable for undergraduate- and graduate-level business students or those with several years’ practical experience in industry. At the end of this course DLE, participants should be able to:
  • Explain the difference between correlation and causation.
  • Create and understand a scatter plot, fit a line, and develop a regression model in Excel.
  • Analyze a regression model output and use it to make decisions and predictions with a single variable.
  • Investigate a regression model output and use it to make decisions and predictions with multiple variables, including dummy variables and interaction terms.
  • Explore various regression model types, purposes, and software, as well as how regression models differ from machine learning models.
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Digital Learning Experience: Descriptive and Predictive Analytics: Regression (Digital Learning Experience) (English version) | Ivey Publishing