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Lecture42 (Data2Decision) Multiple Regression
Lecture4 (Data2Decisions) Process Modeling
Lecture35 (Data2Decision) The Wrong Model, part 2
Lecture5 (Data2Decision) Regression part 1
Lecture47 (Data2Decision) Multicollinearity
Lecture41 (Data2Decision) Regression Review
Decision Models vs LLMs: When to Use Each
Model evaluation and comparison (DAIDD 2020)
Lecture46 (Data2Decision) Best Subset Regression in R
Lecture44 (Data2Decision) Multiple Regression in Excel and R
Model selection with AICs
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Last Updated: October 20, 2026
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Indicator variables; non-linear regression. Course Website: lithoguru.com/scientist/statistics/course.html. Intro to multiple regression, interactions, multicollinearity, Goodness of fit, coefficient of determination (R-squared), overall regression F-test, Part 1 of regression review, introduction, maximum likelihood estimation, and ordinary least squares. Course Website: ... Multicollinearity and its effects on regression; the correlation matrix. Course Website: ... A review of regression (what we have covered so far): picking the best regression reproach, checking the assumptions (regression ... In this video we look at decision How to find the best subset of a full Using Excel and R to perform multiple regression and calculate the adjusted R^2, the AIC, and the BIC (information criterion). A basis for the "new statistics" now common in ecology & evolution.
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