It is appropriate to use the "Year Event Occurred" as the explanatory variable because it is not affected at all by any other variable, it is just plain fact because it occured that year. It is appropriate that "Estimated Year Event Occured" as the response variable because it is the variable of interest in an experiment and is what is being measured or observed.
If I guessed all the correct answers for the years, the scatter plot would look like a perfect positive correlation.
I used the percentage of union membership as the explanatory factor when relating the number of strikes and lockouts with the percentage of the total labor force with union membership. This is because the percentage of union membership explains or predicts how many strikes and lockdowns there will be so it plays as the independent variable.
There is a positive association between the number of strikes and lockouts with the percentage of the total labor force with union membership.
The second scatter plot shows the association between the number of people in a household with the number of household conflicts.
There is a slight positive association between the two variables.
Some aspects in which the bar graph helps interpret is the side-by-side visual comparison between the two variables. It also contains in the Y Axis the scale of U.S. Dollars to easily interpret the exact value each variable contained in each state.
There is a slight positive association between the governor's salary with the personal income per capita. If the Governor's salary is lower, the personal income per capita tends to also be lower. Despite this, if the governor's salary is extremely high, it does not mean that the personal income per capita is nearly as high or higher than the personal income per capita of states with moderately paid governors.
Now that all 50 states are included in the data, I can now see that there is even less of an association between the two variables. It seemes that no matter how much a governor's salary is, personal income per capita stays in a steady low-to-moderate scale.
There are several data points that stand out on the scatterplot. One of them being Connecticut which is the highest personal income per capita in the United States but the governor of Connecticut does not have the highest salary of state governors in the United States.