- It is appropriate to use "year event occured" as the explanatory variable because it is used as the independent variable. It serves as the comparison for the "estimated year event occurred".
- If I had guessed the years right, the chart would have a straighter positive plot

- The variable I chose for the explanatory variable is the "Strikes and Lockouts" because it shows the relationship between how the two variables affect each other.
- There is a positive correlation between the two variables. The more strikes and lockouts there were, the more percentage of the labor force went up.
- My second scatter plot shows strikes and lockouts going up and Union Membership Percentage is staying horizontally.
- The variables in my second scatter plot are not associated.

- The bar graph helps compare the two incomes by state.
- My scatter plot shows the relationship between my variables. It shows that the "Governor's Salary" comparison to "Per Capita Personal".

- There are no trends in this scatter plot. There is no positive or negative coorilation in this graph.
- There seems to be one point that is further away from the rest, which is Connecticut (56,001, 150,000). This point is the right most point on the scatter plot.