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 data is provided in BicycleWeights.xlsx. Use the data to develop an estimated regression equation that could be used to estimate the price of a bike given the weight.
Develop the 99% confidence interval for the slope coefficient. Provide the upper bound of the interval.
Brand | Weight | Price |
FELT F5 | 17.8 | 3200 |
PINARELLO Paris | 16.1 | 6250 |
ORBEA Orca GDR | 14.9 | 9540 |
EDDY MERCKX EMX-7 | 15.9 | 6200 |
BH RC1 Ultegra | 17.2 | 4000 |
BH Ultralight 386 | 13.1 | 8600 |
CERVELO S5 Team | 16.2 | 6000 |
GIANT TCR Advanced 2 | 17.1 | 2580 |
WILIER TRIESTINA Gran Turismo | 17.6 | 3400 |
SPECIALIZED S-Works Amira SL4 | 14.1 | 8000 |
Solution:
Given
Brand | Weight | Price |
FELT F5 | 17.8 | 3200 |
PINARELLO Paris | 16.1 | 6250 |
ORBEA Orca GDR | 14.9 | 9540 |
EDDY MERCKX EMX-7 | 15.9 | 6200 |
BH RC1 Ultegra | 17.2 | 4000 |
BH Ultralight 386 | 13.1 | 8600 |
CERVELO S5 Team | 16.2 | 6000 |
GIANT TCR Advanced 2 | 17.1 | 2580 |
WILIER TRIESTINA Gran Turismo | 17.6 | 3400 |
SPECIALIZED S-Works Amira SL4 | 14.1 | 8000 |
Upper bound of 99% confidence interval = - 596.632
Please give upvote.
Thank you.
Get Answers For Free
Most questions answered within 1 hours.