# Question

1. Develop numerical and graphical summaries of the data.

2. Use regression analysis to investigate the relationship between the number of fatal accidents and the percentage of drivers under the age of 21. Discuss your findings.

3. What conclusion and recommendations can you derive from your analysis?

As part of a study on transportation safety, the U.S. Department of Transportation collected data on the number of fatal accidents per 1000 licenses and the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Data collected over a one-year period follow. These data are contained in the file namedSafety.

2. Use regression analysis to investigate the relationship between the number of fatal accidents and the percentage of drivers under the age of 21. Discuss your findings.

3. What conclusion and recommendations can you derive from your analysis?

As part of a study on transportation safety, the U.S. Department of Transportation collected data on the number of fatal accidents per 1000 licenses and the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Data collected over a one-year period follow. These data are contained in the file namedSafety.

## Answer to relevant Questions

1. Develop numerical summaries of the data.2. Using overall score as the dependent variable, develop three scatter diagrams, one using price as the independent variable, one using the number of megapixels as the ...In exercise 3, the following estimated regression equation based on 30 observations was presented.y = 17.6 + 3.8x1 – 2.3x2 + 7.6x3 + 2.7x4The values of SST and SSR are 1805 and 1760, respectively.a. Compute R2.b. Compute ...The Condé Nast Traveler Gold List for 2012 provided ratings for the top 20 small cruise ships (Condé Nast Traveler website, March 1, 2012). The data shown below are the scores each ship received based upon the results from ...In exercise 4, the following estimated regression equation relating sales to inventory investment and advertising expenditures was given.y = 25 + 10x1 + 8x2The data used to develop the model came from a survey of 10 stores; ...This problem is an extension of the situation described in exercise 35.a. Develop the estimated regression equation to predict the repair time given the number of months since the last maintenance service, the type of ...Post your question

0