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Mathematics LibreTexts

6: Regression

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  • 6.00: Physical Problems for Regression
    Examples of engineering problems whose solutions can be found using regression.
  • 6.01: Prerequisites to Regression
    Prerequisites to performing regression, including calculating simple statistical quantities and determining the absolute minimum of a function of either one or two variables.
  • 6.03: Linear Regression
    Finding the linear regression for a set of given data using least-squares optimization. Justification for why this optimization approach is used.
  • 6.04: Nonlinear Regression
    Various nonlinear regression models and how to apply them. Includes polynomial, exponential, growth, logarithmic, and power function models.
  • 6.05: Adequacy of Linear Regression Models
    The importance of determining the adequacy of a linear regression model. Criteria for the adequacy of linear regression models.


This page titled 6: Regression is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Autar Kaw via source content that was edited to the style and standards of the LibreTexts platform.

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