The scatter plot shows the number of hours worked, x, and the amount of money spent on entertainment, y, by each of 24 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 money spent on entertainment for a student who works 12 hours.Note that you can use the graphing tools to help you approximate the line.Amount ofmoney spent onJentertainment(in dollars)Continue2420-16-1248434-xXXx1220 24Number of hours worked28XXE3(a) Write an approximate equation of the line of best fit.y = 0(b) Using your equation from part (a), predict the moneyspent on entertainment for a student who works 12 hours.$0XSubrever muraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Cem

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A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Height Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus Other 67 138 4 6 2 1. 2 26 6. 1 73 175 3.47 5 4 26 1 62 112 4 6 2 1. 4 34 3 1 1. 64.5 122 3.5 3.4 1. 3 47 4 1 1. 69 135 4 4 2 4 13 1. 61 129 3.8 4 2 3 5 17 1. 1. 64 135 3.4 3 2 5 1. 1 1. 68 150 4 10 1 4 2 31 4 1 1 70 130 3.8 4 1 2 4 2 26 8. 1 65 172 3.6 2.5 1.5 0.5 4 2 26 8. 1 74 235 2.6 1. 1. 1. 4 3 52 1. 69 150 3 2 3 3 4 3 26 1. 72 152 2.8 2.5 0.5 3 5 3 30 10 1. 73 155 3 1. 2 4 2 26 1 74 170 3.75 1.5 1.5 2 15 5 1. 68 150 3 2.5 1. 4 3 26 10 1 63 115 2.5 3 2.5 3 2 13 8 1. 1 71 180 2.1 1 3 3 4 13 10 1 72 167 2.7 2. 4 4 2 18 3 72 180 3.8 2 1.5 0.5 1. 300 68.575 152.6 3.341 3.395 1.55 1.75 4.1 2.2 38.25 5.8 s= 4.146257 28.65842 0.584798 2.137257 0.759155 1.409554 0.640723 0.695852 62.7215 2.587419 ------ ---- ----- ----- ----- ----- ---- ----- ----- ----- ----- ------ ----- ---- ---- --
Write the equation of the line through (4, 9) and perpendicular to y = 0.5x + 10. Please show steps.
Graph the line with slope 3 4 passing through the point (1,-5). 10
Find the equation of the line with a slope of negative 5 over 2 and which passes through (-3, 10).
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
Find the slope of line The x-axis
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 25 °F. Note that you can use the graphing tools to help you approximate the line. 100- y 90- x 80- × × xx 70- Monthly x x heating cost 60- × (in dollars) 50- × 40- 30- 20- 10- × x x x x x 0 10 20 30 40 50 60 70 80 90 100 Average monthly temperature (in °F) (a) Write an approximate equation of the line of best fit. y = (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 25 °F. $ ☐ G
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 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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