- It is appropriate to use the year event occured as the explanatory variable because the estimation depends on the actual year
- the scatterplot would have the same x and y coordinates if guessed correctly

- I used union membership percent as the explanatory becuase the more members there were the more stikes were held
- There is a positive association between number of strikes and membership percent
- the second scatterplot shows the plot using the number of strikes as the explanatory variable
- there is a positive association with the second plot

- The bar graph helps determine the huge difference between the average personal income and the governors salary per state
- Yes there is a positive association between the variable as the higher the personal income the larger the governors salary

- after seeing all the data no there is no association the points seem to be scattered everywhere
- there is one data point where the personal income is $55k which is the highest, yet has an average governors salary. This makes it stand out because most states with high personal income also have a high governors salary