Lecture3 Data2decisions Data Example

Summary

Intro to multiple regression, interactions, multicollinearity, model building. Course Website: ... Building models with automated search (full, forward stepwise, and backward stepwise regression), omitted variable bias, and ... Indicator variables; non-linear regression. Course Website: lithoguru.com/scientist/statistics/course.html. Using sequence plots, lag plots, and a Runs test to look for systematic variation of residuals from a linear regression. Course ... Design of experiments for regression: the six principles of regression design. Course Website: ... Review of regression, part 3: assumptions in ordinary least squares (OLS) regression, diagnostics, and remediation. Course ... Impact of using the wrong model equation for regression, and the chi-square test for goodness of fit. Course Website: ... Numerical outputs of Bayesian regression, relationship between Bayesian regression and ridge regression. Course Website: ... Appendix - an optional quick review of matrices, their properties, and their math. Course Website: ... Goodness of fit, coefficient of determination (R-squared), overall regression F-test, model validation, model scope. Course ... Process Modeling as model building + regression. Course Website: lithoguru.com/scientist/statistics/course.html.