Regression Analysis

This course shows you how to choose the right sort of regression for different data sets. You’ll determine under what conditions you should use a linear, a polynomial, or a multiple regression model and perform a linear, polynomial or multiple regression.

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Regression analysis provides a quantitative relationship between two or more variables that can be used for making predictions. This course covers the basic elements of performing and interpreting regressions. You will learn how to choose the right sort of regression for different data sets, how to derive a regression from raw data, how to check if the regression accurately reflects the relationship in the data and how to make statistically relevant predictions from the regression.

  • Learning Objectives
    • Determine under what conditions you should use a linear, a polynomial, or a multiple regression model.
    • Perform a linear, polynomial or multiple regression.
    • Determine the significance of the regression using measures such as the correlation coefficient, the coefficient of determination, the significance of slope and the standard error of estimate.
    • Check and interpret residuals in order to judge the appropriateness of your model.
    • Calculate and interpret confidence intervals in order to predict the dependent variable to a given level of confidence.
  • Who Should Attend

    Appropriate for both learners who have not previously studied the subject matter and learners seeking a refresher course.

  • More Information

    Course Data

    • CEU Hours: 1.5
    • ASQ RU: 1.5
    • Provider: eHigher Education
    • Course ID: RA01EHE
    • Course Length: 15 hours
    • You have 182 days to access this course.
    • Cancellation Policy

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