a. Make a scatter plot of the relationship between per-capita income (in 1000s of dollars) and the percentage of the population with a bachelor's degree in 2017. The respective variables are`per_capita_income_2017` and `bachelors_2017`. Color all the points blue in your scatter plot.

Write the code in the code chunk below with the explanatory on the x axis and the response on the y axis.

```{r scatterplot,warning=FALSE}

##enter code to create scatter plot

```

b. In the code chunk below, write and *add* a new variable to the `county_complete` dataset called `pop_change` which represents the **percentage** change in population from 2013 (`pop2013`) to 2017 (`pop2017`). Run the code to make sure it works as expected! You will need to scroll all the way to the last column using the `>>` button in the viewer to see your handiwork!

```