The scatter plot shows the time spent studying, x, and the quiz score, y, for each of 23 students.(a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit.(b) Using your equation from part (a), predict the quiz score for a student who spent 70 minutes studying.Note that you can use the graphing tools to help you approximate the line.100-9030(a) Write an approximate equation of the line of best fit.70-Quiz score60-50-(b) Using your equation from part (a), predict the quizscore for a student who spent 70 minutes studying.40-30-20-10-2090 100Time spent studying (in minutes)

Answered: Image /qna-images/answer/26230351-a7f8-41b4-a546-09ba757787fb.jpg

Answered: The scatter plot shows the time spent…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A survey was distributed to a group of people asking them how many times they had ordered takeout in the past week. They were also asked how much money they saved that week. The scatter plot displays the relationship between the data collected. the trend line goes through the points (1,230) and (3,190). What is the equation of the trend line. The equation should be in slope form. interpret the slope and y intercept in this context. predict the amount of money a person save when they order takeout 9 times.
Graphing -- Order and Coefficient (x, y) 1000 (0.16, 103.12) (0.28, 33.67) 800 (0.36, 20.37) (0.56, 8.42) 600 (0.68, 5.71) (0.84, 3.74) 400 Consider the graph and the selected data pairs given above. Assume the dependency of y on x conforms to 200 y = kxx" On paper, or in a spreadsheet (MS Excel), draw a graph of y versus x" for that choice of the integer n which will produce a straight line. 0.0 0.2 0.4 0.6 0.8 1.0 For this data, what is the exact value of the integer n?
The scatter plot shows the time spent studying, x, and the quiz score, y, for each of 23 students. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the quiz score for a student who spent 70 minutes studying. Note that you can use the graphing tools to help you approximate the line. y 100 90- So (a) Write an approximate equation of the line of best fit. 70 y = Quiz score 60 50 (b) Using your equation from part (a), predict the quiz 40 score for a student who spent 70 minutes studying. 30- 20- 10- 10 20 30 40 50 60 70 80 90 100 Time spent studying (in minutes)
The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 24 cashiers in California. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience. Note that you can use the graphing tools to help you approximate the line. y 22- 20+ 18- (a) Write an approximate equation of the line of best fit. 16- y = ] 14+ Pay 12+ in dollars X x X (b) Using your equation from part (a), predict the hourly pay rate for a cashier with 10 years of experience. 10 per hour 8- 6+ 4+ 2+ + 2 4 6 8 10 12 14 16 18 20 22 Years of experience
The scatter plot shows the time spent watching TV, x, and the time spent doing homework, y, by each of 23 students last week. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. Note that you can use the graphing tools to help you approximate the line. Time spent doing homework (in hours) 32 28 24 20 16+ 12 8 4 0 y XX 4 X X X X X X X X 8 12 X X 16 X X X X -X X 20 24 Time spent watching TV (in hours) X X X 28 32 X X Ś (a) Write an approximate equation of the line of best fit. y = 0 (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. hours X S
The scatter plot shows the time spent watching TV, x, and the time spent doing homework, y, by each of 23 students last week. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. Note that you can use the graphing tools to help you approximate the line. Time spent doing homework Kin hours) 32- 28- Y 244 20- 124 F 44 B * K 12 x 14 20 24 26 Time spent watching TV (in hours) 32 X (a) Write an approximate equation of the line of best fit. = 0 (b) Using your equation from part (a), predict the time spent doing homework for a student who spends 15 hours watching TV. hours
The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. Note that you can use the graphing tools to help you approximate the line. y 100- 90+ 80+ ? 70+ Monthly heating cost (in dollars) 60+ 50+ 40+ 30- 20+ 10+ X + 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) X X X X X X x X xx X X X X X xx X X X X X A X Ś (a) Write an approximate equation of the line of best fit. y = 0 (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F. $0 X Ś ?
The table and scatter plot show the number of hours worked, x, and the amount of money spent on entertainment, y, by each of 9 students. The equation of the line of best fit is y = 0.9x+18.98. Amount Number of hours 36 spent on entertainment, y (in dollars) 32 worked, x x x x 28- 3.0 17.48 Amount 24 spent on 4.0 22.48 20 entertainment 4.4 27.70 (in dollars) 16+ 5.4 19.95 12. 7.1 28.96 IS- 7.2 23.38 4- 8.0 28.50 10 10 12 14 16 9.0 28.50 Number of hours worked 12.0 29.78 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed amount Predicted amount Residual Number of hours worked spent on entertainment spent on entertainment (in dollars) (in dollars) (in dollars) 8.0 12.0
The scatter plot shows the number of years of experience, x, and the amount charged per hour, y, for each of 23 dog sitters in California. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the amount charged per hour by a dog sitter with 10 years of experience. Note that you can use the graphing tools to help you approximate the line. Amount charged in dollars \per hour/ 22- 20+ 18+ 16+ 14+ 12+ 10- 8- 6- 4+ 2+ 0 2 4 X 6 X X +3 +: X 8 10 12 14 16 18 20 22 Years of experience X S (a) Write an approximate equation of the line of best fit. :0 y = (b) Using your equation from part (a), predict the amount charged per hour by a dog sitter with 10 years of experience. $0 x Ś

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