Bicycling World, a magazine devoted to cycling, reviews hundreds of bicycles throughout the year. Its "Road-Race" category contains reviews of bicycles used by riders primarily interested in racing. One of the most important factors in selecting a bicycle for racing is the weight of the bicycle. The following data show the weight (pounds) and price ($) for ten racing bicycles reviewed by the magazine.ModelWeight PriceFierro 7B17.92200HX 500016.26350Durbin Ultralight168490Schmidt16.26300WSilton Advanced17.54100bicyclette vélo15.28500Supremo Team16.56200XTC Racer17.62680D’Onofrio Pro17.54500Americana #613.68200Use the data to develop an estimated regression equation that could be used to estimate the price for a bicycle given its weight. What is the estimated regression model? Group of answer choicesy = -1512x + 30578y = 1351x + 26327y = -1161x + 24489y = -1457x + 27903y = 1341x + 25176

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Answered: Use the data to develop an estimated…

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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Bicycling World, a magazine devoted to cycling, reviews hundreds of bicycles throughout the year. Its "Road-Race" category contains reviews of bicycles used by riders primarily interested in racing. One of the most important factors in selecting a bicycle for racing is the weight of the bicycle. The following data show the weight (pounds) and price ($) for ten racing bicycles reviewed by the magazine.

Model	Weight	Price
Fierro 7B	17.9	2200
HX 5000	16.2	6350
Durbin Ultralight	16	8490
Schmidt	16.2	6300
WSilton Advanced	17.5	4100
bicyclette vélo	15.2	8500
Supremo Team	16.5	6200
XTC Racer	17.6	2680
D’Onofrio Pro	17.5	4500
Americana #6	13.6	8200

Use the data to develop an estimated regression equation that could be used to estimate the price for a bicycle given its weight. What is the estimated regression model?

Group of answer choices

y = -1512x + 30578

y = 1351x + 26327

y = -1161x + 24489

y = -1457x + 27903

y = 1341x + 25176

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