estimated and actual event dates
  1. 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".
  2. If I had guessed the years right, the chart would have a straighter positive plot

comparison scatterplot 1
comparison scatterpot 2
  1. 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.
  2. 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.
  3. My second scatter plot shows strikes and lockouts going up and Union Membership Percentage is staying horizontally.
  4. The variables in my second scatter plot are not associated.
Governor Data
Governor Data Scatter Plot
  1. The bar graph helps compare the two incomes by state.
  2. My scatter plot shows the relationship between my variables. It shows that the "Governor's Salary" comparison to "Per Capita Personal".
Governor Data large scatter plot
  1. There are no trends in this scatter plot. There is no positive or negative coorilation in this graph.
  2. 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.