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Football Data Points/Game Yards/Game 26.8 349.9 17.5 294.4 18.4 304.1 14.1 270.8 15.3 290.2 22.5 287.3 23.4 339.6 24.9 350.5 27.1 362.1 20.3 344.7 20.5 315.7 28.1 365.8 25.5 326.4 26.6 353.6 26.3 362.1 13.6 278.5 17 288.8 23.2 341.9 35.3 407.1 23.1 370.7 23.5 330.1 17.7 297.1 17.9 302.3 22.3 360.8 26.1 336.2 26.9 311.9 12 233.2 24.8 346.7 17.8 302.7 21.1 328.1 18.7 313.3 22.8 339.1 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 G 250 350 450 Yards/Game The scatter diagram shows a linear pattern. so there OB Q appears to be a linear relationship between the two variables. Points Game Q 20 G 0 250 350 450 Yards/Game b. Develop a model for predicting points/game as a function of yards/game. points/game 189.9+ 6.179 xyards/game (Round to three decimal places as needed.) c. Determine the coefficient of determination, R, and interpret its meaning. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. The coefficient of determination is R2: This value is the probability that the correlation between the variables is statistically significant. B. The coefficient of determination is R² = 0.761. This value is the proportion of variation in points/game that is explained by the variation in yards/game. OC. The coefficient of determination is R2 = OD. The coefficient of determination is R2: =1 This value is the probability that the slope of the regression line is statistically significant. = This value is the proportion of variation in yards/game that is explained by points/game.

Football Data Points/Game Yards/Game 26.8 349.9 17.5 294.4 18.4 304.1 14.1 270.8 15.3 290.2 22.5 287.3 23.4 339.6 24.9 350.5 27.1 362.1 20.3 344.7 20.5 315.7 28.1 365.8 25.5 326.4 26.6 353.6 26.3 362.1 13.6 278.5 17 288.8 23.2 341.9 35.3 407.1 23.1 370.7 23.5 330.1 17.7 297.1 17.9 302.3 22.3 360.8 26.1 336.2 26.9 311.9 12 233.2 24.8 346.7 17.8 302.7 21.1 328.1 18.7 313.3 22.8 339.1 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 G 250 350 450 Yards/Game The scatter diagram shows a linear pattern. so there OB Q appears to be a linear relationship between the two variables. Points Game Q 20 G 0 250 350 450 Yards/Game b. Develop a model for predicting points/game as a function of yards/game. points/game 189.9+ 6.179 xyards/game (Round to three decimal places as needed.) c. Determine the coefficient of determination, R, and interpret its meaning. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. The coefficient of determination is R2: This value is the probability that the correlation between the variables is statistically significant. B. The coefficient of determination is R² = 0.761. This value is the proportion of variation in points/game that is explained by the variation in yards/game. OC. The coefficient of determination is R2 = OD. The coefficient of determination is R2: =1 This value is the probability that the slope of the regression line is statistically significant. = This value is the proportion of variation in yards/game that is explained by points/game.

FINANCIAL ACCOUNTING
FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
Problem 1Q
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Football Data Points/Game Yards/Game 26.8 349.9 17.5 294.4 18.4 304.1 14.1 270.8 15.3 290.2 22.5 287.3 23.4 339.6 24.9 350.5 27.1 362.1 20.3 344.7 20.5 315.7 28.1 365.8 25.5 326.4 26.6 353.6 26.3 362.1 13.6 278.5 17 288.8 23.2 341.9 35.3 407.1 23.1 370.7 23.5 330.1 17.7 297.1 17.9 302.3 22.3 360.8 26.1 336.2 26.9 311.9 12 233.2 24.8 346.7 17.8 302.7 21.1 328.1 18.7 313.3 22.8 339.1
Transcribed Image Text:Football Data Points/Game Yards/Game 26.8 349.9 17.5 294.4 18.4 304.1 14.1 270.8 15.3 290.2 22.5 287.3 23.4 339.6 24.9 350.5 27.1 362.1 20.3 344.7 20.5 315.7 28.1 365.8 25.5 326.4 26.6 353.6 26.3 362.1 13.6 278.5 17 288.8 23.2 341.9 35.3 407.1 23.1 370.7 23.5 330.1 17.7 297.1 17.9 302.3 22.3 360.8 26.1 336.2 26.9 311.9 12 233.2 24.8 346.7 17.8 302.7 21.1 328.1 18.7 313.3 22.8 339.1
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 G 250 350 450 Yards/Game The scatter diagram shows a linear pattern. so there OB Q appears to be a linear relationship between the two variables. Points Game Q 20 G 0 250 350 450 Yards/Game b. Develop a model for predicting points/game as a function of yards/game. points/game 189.9+ 6.179 xyards/game (Round to three decimal places as needed.) c. Determine the coefficient of determination, R, and interpret its meaning. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. The coefficient of determination is R2: This value is the probability that the correlation between the variables is statistically significant. B. The coefficient of determination is R² = 0.761. This value is the proportion of variation in points/game that is explained by the variation in yards/game. OC. The coefficient of determination is R2 = OD. The coefficient of determination is R2: =1 This value is the probability that the slope of the regression line is statistically significant. = This value is the proportion of variation in yards/game that is explained by points/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 G 250 350 450 Yards/Game The scatter diagram shows a linear pattern. so there OB Q appears to be a linear relationship between the two variables. Points Game Q 20 G 0 250 350 450 Yards/Game b. Develop a model for predicting points/game as a function of yards/game. points/game 189.9+ 6.179 xyards/game (Round to three decimal places as needed.) c. Determine the coefficient of determination, R, and interpret its meaning. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. The coefficient of determination is R2: This value is the probability that the correlation between the variables is statistically significant. B. The coefficient of determination is R² = 0.761. This value is the proportion of variation in points/game that is explained by the variation in yards/game. OC. The coefficient of determination is R2 = OD. The coefficient of determination is R2: =1 This value is the probability that the slope of the regression line is statistically significant. = This value is the proportion of variation in yards/game that is explained by points/game.
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