It is appropriate to use the variable year event occured as the explanatory variable and estimated year event occured as the response variable because the estimate is a response to the question while the actual data is given as an explanatory to show the difference.
If I had guessed the correct year for each event, the scatterplot would have just single points that did not share the same x axes at any point.
I used the Y variable as the explanatory variable when relating the number of strikes and lockouts with the percentage of the total labor force with union membership to show the difference as time progresses
The association is negative, seems to decrease exponentially
The second scatterplot just shows the values swapped
The association is the same in the first scatterplot
The bar graph helps compare the average income and governor's salary
There is a very slight positive association between the variables, as avergae income goes up, governor's salary increases very slightly overall'
There is no trend or association with the whole data set, there is no correlation
No data points appear to stand away noticeably from the rest of the data