(0 p) Dataset is specified.

(0 p) Variables from the personal codebook are indicated.

(10 p) One of the following (4 p for plot, 2 p for labelled axes and title, 4 p for interpretation):

Scatter plot (for regression): \(x\) = numerical, \(y\) = numerical, include axis labels and a title. Interpret the plot: describe the relationship.

Box plots (for ANOVA): \(x\) = categorical, \(y\) = numerical, include axis labels and a title. Interpret the plot: describe the relationship.

Mosaic plot or bivariate bar plots (for contingency tables): \(x\) = categorical, \(y\) = categorical, include axis labels and a title. Interpret the plot: describe the relationship.

Logistic scatter plot (for logistic regression): \(x\) = numerical, \(y\) = categorical (binary), include axis labels and a title. Interpret the plot: describe the relationship.

Class 13: Plot one of the four plots with a rough interpretation.

Class 14: Finish the four plots with informative labels on axes and title and clear interpretations.

The sections from Erikโs `S4R_Project_All_Erik_NESARC.Rmd`

file to focus on are

- Class 13 Graphing Bivariate
- Scatter plot (for regression): x = numerical, y = numerical
- Box plots (for ANOVA): x = categorical, y = numerical
- Mosaic plot or bivariate bar plots (for contingency tables): x = categorical, y = categorical
- Logistic scatter plot (for logistic regression): x = numerical, y = categorical (binary)