1. Why is it appropriate to use the variable “year event occurred” as the explanatory variable and “estimated year event occurred” as the response variable? It is appropiate to use the year event ocurred as the explantatory variable because inorder to get the estimated year which is the response variable you first would need the explantory variable, because the response variable is dependent on the explantory variable. Therefore, It would be appropiate to use the year the event occurred first before seeing an estimate.
2. What would the scatterplot look like if you had guessed the correct year for each event? If we guessed the correct year for each event, the scatterplot would be displayed as a straight line going up (Positive association), but there is currently no association with the scatterplot above.
1. Which variable did you use as the explanatory variable when relating the number of strikes and lockouts with the percentage of the total labor force with union membership in your first scatter plot? Why? I used the Number of strikes and lockouts as the explanatory variable because based on the number of strikes and lockouts within that union, leads to how many people (The percentage of people) that would still be a member of that union.
2. What type of association is there between the number of strikes and lockouts with the percentage of the total labor force with union membership? A Positive Association.
3. Explain, what this scatterplot shows? The scatterplot shows that as the Number of strikes and Lockouts increase, The Percentage of Union Membership increases as well.
4. What type of association is there between the variables you related in your second scatter plot, or are the variables not associated? There is a Postive Association also.
1. Which aspects of the data does the bar graph help interpret? The bar graph helps determine the different amount of money between the Governor Salary and the Per Capita Income within those 9 states.
2. Is there an association between the variables in your scatterplot? Explain. There is no association between the Governor's salary and Per capita Income because as the Per Capita Income increases, The governor's salary does not increase or decrease, so therefore there is not a positive association or a negative association, there is no association.
1. Now that we can see all the states, are there any trends or associations in the data? Explain. There is still no Association between the two.
2. Are there any data points that appear to stand away from the rest of the data? If so, which one(s) and what makes them stand out? There are two data points that stands out from the rest that are on the very end of the graph. They stand out because they are not exactly in the graph, because there values are more than 50 and the x axis maximum is 50.