Simple Linear Regression

Regression: Choosing Explanatory Variables

Regression: Uncertainty and Prediction intervals

Regression diagnostics in (base) R

Simple Linear Regression using Logarithms

Simple Linear Regression: an Example using Logarithms

Simple Linear Regression with a Binary Explanatory Variable

Regression with Categorical Explanatory Variables

Multiple Regression: Higher Order Terms and Additional Explanatory Variables

Regression Interactions for Vastly More Complex Modeling

Interpreting Regression p-values as Posterior Probabilities

One-way Analysis of Variance (ANOVA)

Regression: F-tests

Statistical Contrasts for Addressing Specific Scientific Hypotheses

Demonstrating Contrasts using a Potato Scab Example

Completely Randomized Design (CRD)

Randomized Complete Block Design (RCBD)

Analysis of a Two-Factor Completely Randomized Design in R

Analyses of Two-Factor Unbalanced and Incomplete Designs in R

Analysis of a Two-Factor Experiment to Find an Optimal Response in R