- It is appropriate to use "Year Event Occurred" as the explanatory variable because it explains changes in the variable, and effects the response variable, which in this case is "Estimated Year Event Occurred." And this is used as the response variable.
- The scatterplot would look like a diagonal line going upwards from left to right. In other words a positive slope.

- I used the Union Membership Percentage as the explanatory variable in the first scatter plot because it is directly effected by Strikes and Lockouts. The more Strikes and Lockouts there are, the lower the Union Membership Percentage.
- There is a Positive Linear Association with the Union Membership Percentage and number of Strikes and Lockouts
- The 2nd scatter plot shows the relationship between the number of Strikes and Lockouts and the Year they occurred.
- The assosciation between the variable in the 2nd scatter plot is a Negative Linear Association

- The bar graph helps to compare the 2 different variables and track change over time
- There is a positive linear correlation.

- One thing that does stick out about the scatter plot, is that as the per capita income value increases so does the income/salary.