The accompanying data are from a football league for one season. a. Construct a scatter diagram for points/game and yards/game. Does there appear to be a linear relationship? b. Use the Regression tool to develop a model for predicting points/game as a function of yards/game e. Explain the R value. Click the icon to view the football data a. Choose the correct scatter diagram below @A. Points/Game 40- 20- 250 350 450 Yards/Game OB. 40- Points/Game 20 0- 250 350 Yards/Game 450 The scatter diagram shows so there b. Develop a model for predicting pointsigame as a function of yards/game. points/game-yards/game (Round to three decimal places as needed) to be a linear relationship between the two variables c. Determine the coefficient of determination, R, and interpret its meaning. Select the correct choice below a (Round to three decimal places as needed.) OA. The coefficient of determination is R OB. The coefficient of determination is R- OC. The coefficient of determination is R OD. The coefficient of determination is R bax to complete your choice This value is the proportion of variation in points/game that is explained by the variation in yards/game This value is the proportion of variation in yards/game that is explained by points/game. This value is the probability that the correlation between the variables is statistically significant This value is the probability that the slope of the regression line is statistically significant Oc 40- Points/Game 20- 250 350 450 Yards/Game OD 40- Points/Game 20- 0- 250 350 450 Yards/Game

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question
Points/Game Yards/Game
24.9
347.6
17.8
306.5
18.5
310.6
15.6
279.9
16
288.2
21.7
289.9
24.9
356.7
24.5
345.5
30.2
361.4
21.6
353.9
21.5
318.3
27.7
362.5
24.9
338
29.9
350.3
25.8
366.8
15.2
276.4
18.5
286.3
24.5
329.9
35.2
406.4
25.2
361.8
22.5
334.3
16
300.5
17.5
294.2
19.9
360.6
22.9
321
24.4
310.4
14.5
242.9
24.2
349.2
16.2
303.2
20.2
326.3
17.2
318.2
21.6
338.9
Transcribed Image Text:Points/Game Yards/Game 24.9 347.6 17.8 306.5 18.5 310.6 15.6 279.9 16 288.2 21.7 289.9 24.9 356.7 24.5 345.5 30.2 361.4 21.6 353.9 21.5 318.3 27.7 362.5 24.9 338 29.9 350.3 25.8 366.8 15.2 276.4 18.5 286.3 24.5 329.9 35.2 406.4 25.2 361.8 22.5 334.3 16 300.5 17.5 294.2 19.9 360.6 22.9 321 24.4 310.4 14.5 242.9 24.2 349.2 16.2 303.2 20.2 326.3 17.2 318.2 21.6 338.9
The accompanying data are from a football league for one season.
a. Construct a scatter diagram for points/game and yards/game. Does there appear to be a linear relationship?
b. Use the Regression tool to develop a model for predicting points/game as a function of yards/game.
c. Explain the R value.
Click the icon to view the football data
a. Choose the correct scatter diagram below.
A
Points/Game
40-
20-
0-
250
350
Yards/Game
450
points/game+xyards/game
Points/Game
20-
OB.
OC.
OD.
40-
40-
40
0-
250 350
Yards/Game
450
The scatter diagram shows
so there
b. Develop a model for predicting points/game as a function of yards/game.
to be a linear relationship between the two variables.
(Round to three decimal places as needed.)
c. Determine the coefficient of determination, R2, and interpret its meaning. Select the correct choice below and fil in the answer box to complete your choice.
(Round to three decimal places as needed.)
OA. The coefficient of determination is R2-
OB. The coefficient of determination is R-
OC. The coefficient of determination is R2
OD. The coefficient of determination is R
This value is the proportion of variation in points/game that is explained by the variation in yards/game
This value is the proportion of variation in yards/game that is explained by points/game.
This value is the probability that the correlation between the variables is statistically significant
This value is the probability that the slope of the regression line is statistically significant.
Points/Game
20-
0
250
350
450
Yards/Game
Points/Game
20-
0-
250 350 450
Yards/Game
Transcribed Image Text:The accompanying data are from a football league for one season. a. Construct a scatter diagram for points/game and yards/game. Does there appear to be a linear relationship? b. Use the Regression tool to develop a model for predicting points/game as a function of yards/game. c. Explain the R value. Click the icon to view the football data a. Choose the correct scatter diagram below. A Points/Game 40- 20- 0- 250 350 Yards/Game 450 points/game+xyards/game Points/Game 20- OB. OC. OD. 40- 40- 40 0- 250 350 Yards/Game 450 The scatter diagram shows so there b. Develop a model for predicting points/game as a function of yards/game. to be a linear relationship between the two variables. (Round to three decimal places as needed.) c. Determine the coefficient of determination, R2, and interpret its meaning. Select the correct choice below and fil in the answer box to complete your choice. (Round to three decimal places as needed.) OA. The coefficient of determination is R2- OB. The coefficient of determination is R- OC. The coefficient of determination is R2 OD. The coefficient of determination is R This value is the proportion of variation in points/game that is explained by the variation in yards/game This value is the proportion of variation in yards/game that is explained by points/game. This value is the probability that the correlation between the variables is statistically significant This value is the probability that the slope of the regression line is statistically significant. Points/Game 20- 0 250 350 450 Yards/Game Points/Game 20- 0- 250 350 450 Yards/Game
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