The scatter plot shows the time spent texting, x, and the time spent exercising, 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 exercising for a student who spends 4 hours texting.Note that you can use the graphing tools to help you approximate the line.10-(a) Write an approximate equation of the line of best fit.Time spenty =||exercising(in hours)(b) Using your equation from part (a), predict the timespent exercising for a student who spends 4 hours texting.| hours1-6.10Time spent texting(in hours)

given The scatter plot shows the time spent texting, x, and the time spent exercising, y, by each…

Answered: The scatter plot shows the time spent…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which best describes the slope of the line that passes through points (0, 4) and (4, 4)?
A Realtor examines the factors that influence the price of a house in Arlington, Massachusetts. He collects data on recent house sales (Price) and notes each house’s square footage (Sqft) as well as its number of bedrooms (Beds) and number of bathrooms (Baths). . Interpret the slope of the independent variable.
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
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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 ?
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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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