Rubric

1. (0 p) Dataset is specified.

2. (0 p) Variables from the personal codebook are indicated.

3. (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 Erik’s 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)