Almost all U.S. light-rail systems use electric cars that run ontracks built at street level. The Federal Transit Administrationclaims light-rail is one of the safest modes of travel, with anaccident rate of .99 accidents per million passenger miles ascompared to 2.29 for buses. The following data show the miles oftrack and the weekday ridership in thousands of passengers for sixlight-rail systems.
City | Miles of Track | Ridership (1000s) |
Cleveland | 17 | 16 |
Denver | 19 | 36 |
Portland | 40 | 82 |
Sacramento | 23 | 32 |
San Diego | 49 | 76 |
San Jose | 33 | 31 |
St. Louis | 36 | 43 |
- Use these data to develop an estimated regression equation thatcould be used to predict the ridership given the miles oftrack.
Compute b0 and b1 (to 2decimals).
b1
b0
Complete the estimated regression equation (to 2 decimals).
=Â Â +Â Â x
- Compute the following (to 1 decimal):
- What is the coefficient of determination (to 3 decimals)? Note:report r2 between 0 and 1.
Does the estimated regression equation provide a good fit?
SelectYes, it even provides an excellent fitYes, it provides a goodfitNo, it does not provide a good fitItem 10
- Develop a 95% confidence interval for the mean weekdayridership for all light-rail systems with 30 miles of track (to 1decimal).
(  ,  )
- Suppose that Charlotte is considering construction of alight-rail system with 30 miles of track. Develop a 95% predictioninterval for the weekday ridership for the Charlotte system (to 1decimal).
(  ,  )