An introduction to simple linear regression using the mtcars dataset. This presentation covers the regression equation, slope, intercept, residuals, model fitting, and visualization using ggplot2 and Plotly.

Discussion of R classes and data structures, custom functions, and Bayes' theorem, with a probability tree for OpenIntro Guided Practice 3.43.

Math problems of the day for 9/11/26.

Helena Coleman Instructions: This assignment is intended to give you experience with some common plotting functions (hist(), boxplot) and challenge you to fine-tune your plots to make them a little nicer than the defaults. This will also give you experience working in RMarkdown. Upload your compiled .html document by the deadline. Be sure to add your name above.