The year the event occured is the explanatory variable and the estimated year the event occured is the reponse varible, because the estimated year the event occured depends on the actual year the event occured.
The scatterplot would be a diagnal line if I guessed the correct year for each event.
I used the Union Membership Percentage as my explanatory variable, because the number of strikes and lockouts depends on this value.
There is a postive assocation between the number of strikes and lockouts and the percentage of the total labor force with union membership. As union membership increases, the total number of stikes and lockouts increases as well.
My second scatterplot shows the relationship between the year and the number of strikes and lockouts.
There is a negative association between the year and the number of strikes and lockouts. As the years go on and increase, the number of strikes and lockouts decreases.
The bar graph helps interpret the difference between the Governor's salary and average personal income in select states in 2010.
There is no relationship in my scatterplot comparing average personal income and the Governor's salary in 2010.
There is no trend or assocation between per capital personal salary in all states and Governor's salary in all states in 2010.
The data point of the state of Conneticut stands out because it has the highest per capita personal income out of all the states by over $4,000.