Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Weekly Usage(hours) AnnualMaintenance Expense 17 22 14 27 24 35 32 42 36 52 21 36 28 38 35 44 44 57 42 45 a. Develop the estimated regression equation that relates annual maintenance expense to weekly usage (to  3 decimals).   expense +          weekly usage         b. Test the significance of the relationship in part (a) at a  level of significance. Compute the value of the  f test statistic (to 2 decimals).   c. Jensen expects the new machine to be used  30 hours per week. What is the expected annual maintenance expense in hundreds of dollars (to  2 decimals)? $  hundred Develop a 95% prediction interval for the company's annual maintenance expense for this machine (to  2 decimals). ($  hundred, $  hundred)

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?

Zagat’s publishes restaurant ratings for various locations in the United States. The following table contains the Zagat rating for food, décor, service, and the cost per person for a sample of 100 restaurants located in New York City and in a suburb of New York City. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the ratings for food, décor, and service. Predict the mean cost per person for a restaurant with a sum-mated rating of 50. What should you tell the owner of a group of restaurants in this geographical area about the relationship between the summated rating and the cost of a meal? Location Food  Décor Service Summated Rating Coded Location Cost   Bins Midpoints City 22 14 19 55 0 33   19.99 25 City 20 15 20 55 0 26   29.99 35 City 23 19 21 63 0 43   39.99 45 City 19 18 18 55 0 32   49.99 55 City 24 16 18 58 0 44   59.99 65 City 22 22 21 65 0 44   69.99 75 City 22 20 20 62 0 50   79.99 85 City 20 19…