The table and scatter plot show the number of years of experience, x, and the hourly pay rate, v, for each of 11 cashiers in Florida.The equation of the line of best fit is y= 0.9x+8.02.Experience, x | Hourly pay rate, y(in years)(in dollars)220.87.4220-1.09.7118-16-1.38.00Hourly14-2.09.08pay rate12-(in dollars)3.311.40103.612.128.3.813.006.5.014.507.012.408.615.4610Experience (in years)8.815.87Use the equation of the line of best fit to fill in the blanks below.Give exact answers, not rounded approximations.Observed hourly payPredicted hourly payNumber of yearsof experienceResidualrate(in dollars)rate(in dollars)(in dollars)5.07.0

Answered: The table and scatter plot show the…

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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The table and scatter plot show the time spent texting, x, and the time spent exercising, y, by each of 9 students last week. The equation of the line of best fit is y =-0.4x+6.99. Time spent Time spent 11+y texting, x exercising, y (in hours) 10 (in hours) 1.9 6.54 Time spent 2.2 5.48 exercising 2.8 6.94 (in hours) 3.5 5.16 4.1 4.50 4.6 4.30 4.9 6.50 5.5 3.36 Time spent texting 5.6 5.97 (in hours) Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed time spent exercising (in hours) Predicted time spent exercising (in hours) Residual Time spent texting (in hours) (in hours) 4.1 4.9
Interpret the unstandardized coefficient for highest years of schooling. E.g., Is the relationship positive or negative? How does a one-unit change in schooling (i.e. an increase in one-year of education) influence Y? Interpret the constant (i.e. the intercept) in the equation? What does it indicate? Calculate the average number of hours watched for someone with 12 years of education.
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Darnell has recorded the estimated value of his car each year since 2017. Let x=1 correspond to the year 2017. Find the slope-intercept form of the equation for the line that passes through the points representing the value of his car in 2017, (1,24,349), and the value of his car in 2021, (5,17,999). Round the slope to the nearest hundredth, if necessary. Year Value, $$ 2017 24,349 2018 22,200 2019 20,100 2020 19,100 2021 17,999
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The table and scatter plot show the number of years of experience, x, and the hourly pay rate, y, for each of 10 cashiers in Arizona. The equation of the line of best fit is y = 0.9xr+8.22. Experience, x Hourly pay rate, y (in years) 22 (in dollars) 20+ 0.8 7.47 18- 1.1 9.46 +16- Hourly 2.2 8.91 14+ pay rate 3.1 11.46 (in dollars) 124 10 3.8 12.31 3.8 13.00 6- 5.0 14.50 6.9 12.40 8.5 15.44 10 10 11 8.8 15.79 Experience (in years) Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed hourly pay Predicted hourly pay Number of years Residual (in dollars) rate rate of experience (in dollars) (in dollars) 5.0 6.9
Calculate the residual energy expenditure for a house with 1250 square feet. Explain what this measurement tells you in the context of this probelm. slope = 0.388 y-intercept=1027.554
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Crude Oil The U.S. crude oil production, in billionsof barrels, was 1.94 in the year 2010 and is projectedto be 2.26 in 2030.a. Find the projected average rate of change inproduction from 2010 through 2030.b. Use the rate of change from part (a) and the pointcorresponding to 2010 to write the equation of theline that joins the points (2010, 1.94) and (2030,2.26), with x equal to the year 2010 and y equal tothe number of billions of barrels of crude oil.(Source: U.S. Energy Information Administration)
The table and scatter plot show the time spent studying, x, and the midterm score, y, for each of 10 students. The equation of the line of best fit is y = 3.7x+ 14.64. Time spent Midterm studying, x (in hours) 100- score, y 90 3.3 22.41 70- 3.8 30.97 Midterm score 60 4.6 25.31 50 5.9 37.96 40 6.9 36.86 30 20 8.1 53.20 10- 8.5 44.64 9.2 57.51 10 12 14 16 18 20 22 24 16 12.0 59.04 Time spent studying (in hours) 15.0 65.00 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Time spent studying (in hours) Observed midterm Predicted midterm Residual Score Score 12.0 15.0 OIO
The table and scatter plot show the time spent studying, x, and the midterm score, y, for each of 10 students. The equation of the line of best fit is y = 4.2x+11.58. Time spent Midterm 100- studying, x (in hours) score, y 90 3.3 21.51 4.0 28.04 Midterm score 60 Xx 4.8 22.89 50- 5.7 36.06 40- 6.9 36.28 30- 20- 8.2 58.20 104 8.5 45.42 14 10 12 14 16 18 20 22 24 12 9.1 56.72 12.1 70.00 Time spent studying (in hours) 15.0 74.58 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Time spent studying (in hours) Observed midterm Predicted midterm Residual Score Score 12.1 15.0
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210 200 190 180 170 160 150 Year 0 130- 120- 110- 100- 90 801 6 12 15 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 3 6 9 12 15 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. The function is not a good model for the data Estimate the retails sales in the U. S. in 2015. billions of dollars.

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