# Rubric

1. With your previous (or new) bivariate scatter plot, add a regression line.

• (1 p) plot with regression line,
• (1 p) label axes and title.
2. Use lm() to fit the linear regression and interpret slope and $$R^2$$ (R-squared) values.

• (1 p) lm summary() table is presented,
• (2 p) slope is interpreted with respect to a per-unit increase of the $$x$$ variable in the context of the variables in the plot,
• (1 p) $$R^2$$ is interpretted in a sentence.
3. (1 p) Interpret the intercept. Does it make sense in the context of your study?

4. Try plotting the data on a logarithmic scale ($$x$$-only, $$y$$-only, and both $$x$$ and $$y$$). What happened to your data when you transformed it?

• (1 p) At least one logarithmic relationship is plotted, they indicate why they chose this transformation,
• (1 p) they describe what happened to the relationship (compare original scale to transformed scale).
5. Does your relationship benefit from a logarithmic transformation?

• (1 p) They say whether the relationship became more linear, and it is supported by their plots.