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.