Questions 16 – 20: A sports writer knows that fans will generally pay more to se
ID: 3181129 • Letter: Q
Question
Questions 16 – 20: A sports writer knows that fans will generally pay more to see a winning team and wants to see if it is possible to use the number of wins in a season (Wins) to predict the average ticket price. Use the data to create a scatterplot, add a trendline and request whatever additional information you need to answer the following questions:
16. Describe the overall pattern of the relationship between number of wins and average ticket price.
17. What is the equation for the least squares regression line for the relationship between number of wins and average ticket price?
18. Predict the average ticket price for a team that wins 75 games.
19. For every additional win a team gets, their average ticket price would be expected to _______ by ______.
20. What is the correlation between wins and average ticket price?
(numerical answer required)
Team League Wins Average Ticket$ Regular season game receipts ($millions) Local TV, radio and cable ($millions) Player compensation and benefits A 0 75 11.79 30.2 10.9 52.2 B 0 63 18.23 53.2 21.0 79.8 C 0 82 39.68 89.7 33.4 118.5 D 0 83 18.73 30.9 30.1 66.7 E 0 91 22.33 69.5 21.1 102.5 F 0 66 20.44 42.3 19.1 57.2 G 0 65 12.30 19.5 6.5 42.7 H 0 85 7.62 17.6 7.3 30.5 I 0 95 24.26 98.0 56.8 117.9 J 0 102 14.94 25.0 9.5 43.8 K 0 116 24.60 76.6 37.9 83.9 L 0 62 15.83 18.2 15.5 57.0 M 0 73 18.03 50.7 25.3 92.8 N 0 80 16.54 25.4 14.5 83.8 O 1 92 13.80 46.5 14.2 99.4 P 1 88 20.59 62.1 20.0 99.7 Q 1 88 24.75 51.2 23.6 78.1 R 1 66 16.66 32.1 7.9 45.4 S 1 73 15.21 54.0 18.2 70.0 T 1 76 12.72 16.8 15.4 42.1 U 1 93 18.87 49.2 13.7 71.6 V 1 86 16.38 50.8 27.3 116.1 W 1 68 17.63 46.0 5.9 51.2 X 1 68 9.00 6.4 0.5 37.7 Y 1 82 22.53 74.0 46.3 99.1 Z 1 86 15.26 30.4 18.9 49.4 AA 1 62 20.52 48.6 9.1 53.2 BB 1 93 21.43 67.1 11.9 80.1 CC 1 79 15.20 34.9 12.4 46.1 DD 1 90 20.84 67.2 17.2 72.2Explanation / Answer
16. the relation between wins and average ticket price is positive coreelation it means if the no.of wins increase the price will also increase.
17. here average price (dependent variable) is dependent on no of wins(independent). the line of equation for average price(Y) depend on no.of wins(X) is Y=7.709+(0.130*X)
18. 17.459.
19. WIN BY WIN
20. THE CORRELATION VALUE IS 0.284.
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