A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. Shesampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous yearand the total amount of money the flyer spent. A regression line of distance flown on money spent was fit tothe data, and the intercept and slope were calculated to be a = 24,000 and b = 10. One of the randomlysampled frequent flyer was found to have spent $2500 and flown 57000 miles. The residual for thisobservation is:O 44000O -8000O 120008000

The regression equation is Distance = 24000+ 10 money spent

Answered: A frequent flyer was interested in 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 value of a certain car when it was brand new with 0 mileage was $17,000 but the value dropped to $4,000 when the car acounulated 80,000 miles shown in the scatter plot below. Car's Mleage and Value S17.000 $2,000 Mileage Based on the data in the scatter plot, at what mileage was the car worth about $12,000? O 20,000 miles O 30,000 miles O 60,000 miles O 80,000 miles
Sanchez & Hall, a research firm for the real estate industry, studied the relation between x = annual income (in thousands of dollars) and y= sale price of house purchased (in thousands of dollars). A random sample of data was collected from mortgage applications for home sales in the region of the study, and is given in the table. Annual Income House Price 215.7 211 144.7 278.5 319.5 236.8 144.8 204 286.8 97 120 73 107 135 81 72 ס|א|א 70 108
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
A random sample of ten professional athletes produced the following data. The first row is the number of endorsements the athlete has and the second row is the amount of money made (in millions of dollars) by the athlete.   What is the slope of the line of best fit? Round to 3 decimal places. Number of Endorsements 0 3 2 1 5 5 4 3 0 4 Profit (in Millions) 2 8 7 3 13 12 9 9 3 10
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Listed below are the numbers of commuters and the number of parking spaces at different Metro-North railroad stations. Use technology (calculator) to help you answer the following, and round to the 3 decimal places where rounding is necessary. . a. Find the linear regression line y = a + bx. b. Are the variables positively or negatively related? c. Find and interpret r2. Make sure to include what it means specific to this data set. d. Use your regression line to make a prediction for the number of parking spaces for a station with 900 e. Identify and interpret the slope of the linear model.
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