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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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 F(t) = 9.44t + 84.182. 220 210- 200 190 180 170 160 150 140 130 120 110 100 90 3 6 9 12 804
Estimates for Medicare are given below: Year Cost (billion dollars) 1995 157 1996 178 1997 194 1998 211 1999 229 2000 247 Write the linear equation using the years 1997 and 2000. Write the linear regression equation Using the regression equation, predict the Medicare cost this year. Using the regression equation, interpret the slope in terms of this problem.
Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
q5
Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 20 minutes. How does the result compare to the actual tip amount of $4.55? Distance 0.68 2.47 12.71 1.80 1.02 8.51 1.32 1.40 6.00 18.00 27.00 25.00 8.00 31.00 8.00 18.00 6.30 14.30 36.80 16.30 7.80 31.75 7.80 12.30 1.89 4.29 0.00 1.50 2.34 2.98 0.00 2.46 Time Fare Tip The regression equation is y=+ X (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 20 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $4.55? O A. The best predicted value is close to the actual tip of $4.55. O B. The best predicted value…
What is the slope and intercept for the regression equation given this data?X = -5, 34, 56, 0, 61Y = 13, 63, 46, -23, 50
Using the regression formula with a slope = 5000 and intercept = 10,000, what would the predicted income be for someone who has 15 years of education? A. 60,000 B. 150,000 C. 85,000 D. 75,000
The linear regression equation for the data from the number 2 is y=.27x+5.82. Describe the slope of the linear best-fit equations.
Find the regression line (even if there isn't correlation in the population) Write the meaning of the slope of the regression line: Find the best predicted score a wife would have, if her husband scored 50:
Please urgent
Use linear regression on your calculator to find the equation of the linear function that best fits this data. 1 3 4 5 6 y 84 110 139 170 180 222 = mx + b. Round all numbers to 2 decimal Hint: Write your final answer as an equation in the form y places.
What is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.

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