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f ces i. The coefficient of determination is P = .677. meaning 67.7% of the variability in textbooks is explained by the least squares line with number of pages. (Hint: Read this carefully: something important is missing.) ices from with each of sing all mes the ng the ollars) Exercise 28-6: Airfares 28-6, 28-7, 28-8, 28-9, 29-16 The following table reports the distance (in miles) as well as the cheapest available airfare (in dollars) for 12 destinations from San Luis Obispo, California, as found March 30, 2008, on Travelocity.com: ng the 0.147 g the Airfare ($) Distance (miles) 288 2604 se by Destination Jacksonville, Florida Salt Lake City, Utah Charlotte, North Carolina -ok costs. 227 850 313 2590 = .677, - Books in Tucson, Arizona 194 673 370 2370 278 1990 = .677 se to 348 2766 Jackson, Mississippi St. Louis, Missouri Rochester, New York Baltimore, Maryland New Orleans, Louisiana Omaha, Nebraska Dallas, Texas 278 2826 .677, pages. ..677, 414 2082 253 1715 298 1592 umber Denver, Colorado 249 1178 nce interpreting it in this rcept coefficient, i. 28-6, 28-7, 28-8, 28-9, 29-16 context. What proportion of the variability in these airfares is explained by the least squares line with distance? Explain how you determine this Exercise 28-7: Airfares Reconsider the airfare data from the previous exercise. The data are stored in the file Airfares. c. Use technology to produce a plot of residuals vs. distance. Does this residual plot reveal an deviation that questions the adequacy of coefficien value. b bin toovad ains 16 a. Calculate the fitted value and residual for Jacksonville. b. Which of the 12 destinations has the greatest residual (in absolute value)? Also report the value of that residual. pattern Exercise 263.24 Reconside now on ofa ar fi obvious following the linear model? f ces i. The coefficient of determination is P = .677. meaning 67.7% of the variability in textbooks is explained by the least squares line with number of pages. (Hint: Read this carefully: something important is missing.) ices from with each of sing all mes the ng the ollars) Exercise 28-6: Airfares 28-6, 28-7, 28-8, 28-9, 29-16 The following table reports the distance (in miles) as well as the cheapest available airfare (in dollars) for 12 destinations from San Luis Obispo, California, as found March 30, 2008, on Travelocity.com: ng the 0.147 g the Airfare ($) Distance (miles) 288 2604 se by Destination Jacksonville, Florida Salt Lake City, Utah Charlotte, North Carolina -ok costs. 227 850 313 2590 = .677, - Books in Tucson, Arizona 194 673 370 2370 278 1990 = .677 se to 348 2766 Jackson, Mississippi St. Louis, Missouri Rochester, New York Baltimore, Maryland New Orleans, Louisiana Omaha, Nebraska Dallas, Texas 278 2826 .677, pages. ..677, 414 2082 253 1715 298 1592 umber Denver, Colorado 249 1178 nce interpreting it in this rcept coefficient, i. 28-6, 28-7, 28-8, 28-9, 29-16 context. What proportion of the variability in these airfares is explained by the least squares line with distance? Explain how you determine this Exercise 28-7: Airfares Reconsider the airfare data from the previous exercise. The data are stored in the file Airfares. c. Use technology to produce a plot of residuals vs. distance. Does this residual plot reveal an deviation that questions the adequacy of coefficien value. b bin toovad ains 16 a. Calculate the fitted value and residual for Jacksonville. b. Which of the 12 destinations has the greatest residual (in absolute value)? Also report the value of that residual. pattern Exercise 263.24 Reconside now on ofa ar fi obvious following the linear model