The cost and customer rating of 13 televisions is shown on the scatterplot. The televisions are rated on a scale of 0 to 10. Scatterplot with x axis labeled Television Price going from 0 to 1,400 and y axis labeled Rating going from 0 to 12. Values at 61, 1; 185, 3; 221, 10; 291, 2; 462, 4; 666, 5; 686, 4; 730, 5; 862, 7; 997, 10; 1,055, 9; 1,077, 8; 1,263, 7.

Part A: Describe the association shown in the scatterplot.

Part B: Give an example of a data point that affects the appropriateness of using a linear regression model to fit all the data. Explain.

Part C: Give an example of a television that is cost effective and rated highly by customers