3. (-/2.77 Points] DETAILS ASWSBE14 14.E.020. MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER DATAfile: Racing Bicycles Bicyc

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3. (-/2.77 Points] DETAILS ASWSBE14 14.E.020. MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER DATAfile: Racing Bicycles Bicyc

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3 2 77 Points Details Aswsbe14 14 E 020 My Notes Ask Your Teacher Practice Another Datafile Racing Bicycles Bicyc 1
3 2 77 Points Details Aswsbe14 14 E 020 My Notes Ask Your Teacher Practice Another Datafile Racing Bicycles Bicyc 1 (44.54 KiB) Viewed 21 times
3. (-/2.77 Points] DETAILS ASWSBE14 14.E.020. MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER DATAfile: Racing Bicycles 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 S 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). ỹ = (b) Computer. (Round your answer to three decimal places.) 22 Did the estimated regression equation provide a good fit? The estimated regression equation provided a good fit, since 2 2 0.55. The estimated regression equation did not provide a good fit, since 2 <0.55. The estimated regression equation did not provide a good fit, since 2 20.55. The estimated regression equation provided a good fit, since 2 <0.55. (c) Predict the price in dollars) for a bike that weighs 15 pounds. (Round your answer to the nearest dollar.) $
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