EBK BUSINESS STATISTICS
7th Edition
ISBN: 9780134462783
Author: STEPHAN
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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A random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured.
The data are in the table. Create a scatter plot and find a regression equation between amount of calories
and amount of sodium. Then use the regression equation to find the amount of sodium a beef hotdog has if
it is 138 calories and if it is 100 calories. Which sodium level that you calculated do you think is closer to
the true sodium level? Why?
Calories and Sodium Levels in Beef Hotdogs
Calories
Sodium
181
477
114
296
184
440
164
495
149
374
180
526
137
251
170
482
133
350
Select the correct scatterplot.
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124010 15 120 125 18015 140 145 150 155 100 45 170 175 Jao Jas I80 4p.
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I4oio is 120 125 180 135 140 J45 J50 153 100 165 170o
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1240lio is 120 125 180 1 140 145 150 155 100 165 170 175 Jao Jas J0 4s.
The regression equation is y=
decimal places if necessary.)
(Round to two…
What are the interpretations of the Y intercept and the slopes in a multiple regression model?
Professional basketball has truly become a sport that generates interest among fans around the world. More and more players come from outside the United States to play in the National Basketball Association (NBA). You want to develop a regression model to predict the number of wins achieved by each NBA team, based on field goal (shots made) percentage and three-point field goal percentage. The data are stored in NBA.xlsx .
TEAM
Wins
Field Goal %
Three-Point Field Goal %
Points Per Game
Rebound
Freedraw
Turnover
Houston Rockets
65
46
36.2
112.4
43.5
19.6
13.8
Toronto Raptors
59
47.2
35.8
111.7
44
17.3
13.4
Golden State Warriors
58
50.3
39.1
113.5
43.5
16.6
15.4
Boston Celtics
55
45
37.7
104
44.5
16
14
Philadelphia 76ers
52
47.2
36.9
109.8
47.4
17.1
16.5
Cleveland Cavaliers
50
47.6
37.2
110.9
42.1
18.1
13.7
Portland Trail Blazers
49
45.2
36.6
105.6
45.5
16.7
13.5
Indiana Pacers
48
47.2
36.9
105.6
42.3
14.9
13.3
New Orleans Pelicans
48
48.3
36.2
111.7
44.3
16.1
14.9…
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- Professional basketball has truly become a sport that generates interest among fans around the world. More and more players come from outside the United States to play in the National Basketball Association (NBA). You want to develop a regression model to predict the number of wins achieved by each NBA team, based on field goal (shots made) percentage and three-point field goal percentage. The data are stored in NBA.xlsx . TEAM Wins Field Goal % Three-Point Field Goal % Points Per Game Rebound Freedraw Turnover Houston Rockets 65 46 36.2 112.4 43.5 19.6 13.8 Toronto Raptors 59 47.2 35.8 111.7 44 17.3 13.4 Golden State Warriors 58 50.3 39.1 113.5 43.5 16.6 15.4 Boston Celtics 55 45 37.7 104 44.5 16 14 Philadelphia 76ers 52 47.2 36.9 109.8 47.4 17.1 16.5 Cleveland Cavaliers 50 47.6 37.2 110.9 42.1 18.1 13.7 Portland Trail Blazers 49 45.2 36.6 105.6 45.5 16.7 13.5 Indiana Pacers 48 47.2 36.9 105.6 42.3 14.9 13.3 New Orleans Pelicans 48 48.3 36.2 111.7 44.3 16.1 14.9…arrow_forwardAfter interviewing salespersons at Harley Davidson dealerships, a researcher has created a linear regression line to explain the relationship between a Harley Davidson motorcycle's age (x) and price (y). The regression has an = 87.7%. Write a sentence summarizing what says about this regression. The age of the motorcycle explains 12.3% of the variation in price. The age of the motorcycle explains 9.36% of the variation in price. The age of the motorcycle explains 87.7% of the variation in price. The price of the motorcycle explains 12.3% of the variation in age. The price of the motorcycle explains 87.7% of the variation in age.arrow_forwardUse data on tab “printers data.” --Run a regression with “Cartridges” as the dependent variable and “Printers” as the independent variable. Place the regression output at cell “I2.” --Create a scatter plot with “printers” as the x-axis and “cartridges” as the y-axis. Place the plot in cell “I22.” --In cell C2 type “Forecast.” In column C, create a cartridge forecast for each printer quantity --In cell D2 type “%error”. In column D calculate the percentage error for each forecasted quantity from each actual cartridge value. --In cell E2 type “ABS[A-F]” and in that column calculate the absolute value of each actual (column B) versus each forecast (column C). --In cell F2 type “Sum ABS[A-F]” --In cell F3 sum the values of column E --In Cell G2 type “MAD” --In cell G3 calculate the Mean Absolute deviation Printers Cartridges 19 57 15 60 15 60 15 75 16 80 14 42 10 40 12 36 20 80 19 76 17 85 19 76 18 72 12 48 17 85 13 65 17 68 11 55 19 76 14 42arrow_forward
- please use this situation: A small theater company has a linear regression model to estimate y = the concession stand sales in dollars, based on knowing x = the number of people in attendance. The regression equation is: = 6.72x + 11.50 and the correlation coefficient was r = 0.781. The data set saw the number of people in attendance ranging from a minimum of 18 people to a maximum of 170 people. 1) Interpret the slope of the regression equation in the context of the problem. If it would make sense, interpret the y-intercept and if it doesn’t make sense to do that say why.arrow_forwardplease please help me i need helparrow_forwardPlease help ($()())arrow_forward
- What is the slope and intercept for the regression equation given this data? X = 72, 81, 54, 50, -3 Y = 69, 97, 73, 22, -10 Please format to 2 decimal places.arrow_forwardA 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period. Regression Analysis As Image: 1) Based on the simple regression analysis output, write the estimated regression equation. 2) What is the correlation coefficient between Risk of Stroke and Age? How do you find iarrow_forwardA financial website reported the beta value for a certain company was 0.86. Betas for individual stocks are determined by simple linear regression. The dependent variable is the total return for the stock, and the independent variable is the total return for the stock market, such as the return of a market index. The slope of this regression equation is referred to as the stock's beta. Many financial analysts prefer to measure the risk of a stock by computing the stock's beta value. Suppose the following data show the monthly percentage returns for the market index and the company for a recent year. Month Market Index% Return Company% Return August -3 4 September 8 7 October 0 1 November -2 1 December -5 0 January 0 0 February 7 7 March 0 -2 April 2 0 May -5 -1 a. Develop the least squares estimated regression equation. (Let x = Market Index % Return (as a %), and let y = Company % Return (as a %). Round your numerical values to four decimal places.)arrow_forward
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