Answer the questions regarding the graph:

a) Does there appear to be a positive, negative, or no relationship? How can you tell?

b) Is there any evidence of a non-linear relationship? Why or why not, and what effect will this have on the correlation coefficient (in other words, why does this matter)?

c) Is there any evidence of issues such as heteroscedasticity or outliers? Why or why not, and what effect will they likely have if they're there?

d) Roughly, what range would you expect r² to be in? Why?

e) Given all of your answers above, how accurate would you expect to be in predicting future ? scores based on X (i.e., would you expect the Standard Error of Estimation to be high, low, or moderate)? If you have said that there is no relationship, what would the Standard Error of Estimation be equal to (don't need to calculate a value here - recall that there is an upper limit to the SEoE).

Value of Car by Age 10 Value of car (thousands of dollars) 1 2 3 4 5 6 7 8 9 10 11 12 13 Age of car (years]