Introduction to the general linear model using R - part II

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This is part II of a screencast reviewing the general linear model in statistics using the R programming language. This is focused more on how to perform and interpret the GLM in R, rather than an overall of the theory or concepts.

Understanding where the standard error comes from
covariation/correlation among parameter estimates.
Simple plots of model fits.
Why centering independent variables is generally useful.
Predicting values from a model.
  1. Ian Dworkin
  2. R programming language
  3. Statistics
  4. General Linear Model
  5. regression
  6. ANOVA
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