The table gives the amount of money (in dollars) spent on football by a majoruniversity. Letting a represent the number of years since 2005, and letting yrepresent the amount of money spent on football, in thousands of dollars, use theregression capabilities of a graphing calculator to find the equation of the line ofbest fit.Round values off to the nearest hundredth.Then, use your equation to make the following predictions.Year200520062007200820092010Dollars spenton football165,000 196,000 210,000 226,000 242,000279,000The equation of the line of best fit is:HintPredict the amount of money that will be spent on football in the year 2024.+APredict the amount of money that will be spent on football in the year 2041.

Let x represent the number of years since 2005Year 2005 : x = 2005 - 2005 = 0Year 2006 : x = 2006 -…

Answered: The table gives the amount of money (in…

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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Part c?
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
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
Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y= mx +b X y 1 92 2 110 4 5 3 139 160 171 6 196
George works a job where he receives an hourly wage plus a bonus for being on time every day. The table below shows his wages for four weeks in which he was on time every day. Hours Worked 38 34 40 37 Wages Earned ($) 609 547 640 593.50 Write an equation to represent the relationship
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 85.851 3 108.426 141.781 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is S(t) = 9.44t + 84.182. 220 210- 200 190 180 170- 160 150 140 130 120 110 100 90 12 804
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Use linear regression to find the equation for the linear function that best fits this data. Click Read Button For online regression calculator. Round both numbers to two decimal places. Write your final answer in a form of an equation y=mx+by=mx+b x 1 2 3 4 5 6 y 74 90 109 123 143 155
Aviation The Federal Aviation Administration tracks airline delays for airports around the country. During the first half of 2007, the flights delayed at Dallas-Fort Worth Airport averaged 4,500 per month. Use this information to write an equation in slope-intercept form that could be used to predict the total number of delays throughout the year. Let x equal the month of the year and y equal the cumulative delays.

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