t. Bicycling, the world's leading cycling magazine, reviews hundreds of bicycles throughout the year. Their "Road-Race" category contains reviews of bikes used by riders primarily interested in racing. One of the most important factors in selecting a bike for racing is the weight of the bike. The following data show the weight (pounds) and price ($) for 10 racing bikes reviewed by the magazine.† Brand Weight Price ($) FELT F5 17.8 2,100 PINARELLO Paris 16.1 6,250 ORBEA Orca GDR 14.9 8,370 EDDY MERCKX EMX-7 15.9 6,2

Managerial Economics: A Problem Solving Approach
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ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
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7t. Bicycling, the world's leading cycling magazine, reviews hundreds of bicycles throughout the year. Their "Road-Race" category contains reviews of bikes used by riders primarily interested in racing. One of the most important factors in selecting a bike for racing is the weight of the bike. The following data show the weight (pounds) and price ($) for 10 racing bikes reviewed by the magazine.†
Brand Weight Price ($)
FELT F5 17.8 2,100
PINARELLO Paris 16.1 6,250
ORBEA Orca GDR 14.9 8,370
EDDY MERCKX EMX-7 15.9 6,200
BH RC1 Ultegra 17.2 4,000
BH Ultralight 386 13.1 8,600
CERVELO S5 Team 16.2 6,000
GIANT TCR Advanced 2 17.1 2,580
WILIER TRIESTINA Gran Turismo 17.6 3,400
SPECIALIZED S-works Amira SL4 14.1 8,000
(a)
Use the data to develop an estimated regression equation that could be used to estimate the price for a bike given the weight. (Round your numerical values to the nearest integer).
ŷ = 
 
 
 
(b)
Compute 
r2.
 (Round your answer to three decimal places.)
r2
 = 
Did the estimated regression equation provide a good fit?
The estimated regression equation did not provide a good fit, since r2 ≥ 0.55.The estimated regression equation did not provide a good fit, since r2 < 0.55.     The estimated regression equation provided a good fit, since r2 ≥ 0.55.The estimated regression equation provided a good fit, since r2 < 0.55.
(c)
Predict the price (in dollars) for a bike that weighs 16 pounds. (Round your answer to the nearest dollar.)
 
 
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