of the regression slope and inter- Age (x) SBPa (y) patients with aplastic he percentage of cytes (y). of this regression Problem 11.1? 3? Hypertension The Update to the Task Force Report on Blood Pressure O Control in Children [12] reported the observed 90th per- centile of SBP in single years of age from age 1 to 17 based on prior studies. The data for boys of average height a given in Table 11.18. are Suppose we seek a more efficient way to display the data and choose linear regression to accomplish this task. 11.13 Fit a regression line relating age to SBP, using the data in Table 11.18. TABLE 11.18 90th percentile of SBP in boys ages 1-17 of average height TABLE Period 1930-1 1935-1 1940-1 1945-1 1950-1 1955-1 1960-1 1965-1 Age (x) ? SBPa (y) Source: E 1 99 10 115 A., 141, 4 tients 2 102 11 117 3 105 12 120 4 107 13 Lymphocytes 122 5 11.19 cancer each is (per mm²) 108 14 125 6 110 15 127 1700 7 11.20 report a 111 16 130 3078 8 11.21 112 17 132 1820 9 mortali 114 2706 2086 2299 express 11.22 necess 676 2088 2013 (16), EV for 100 rable cor- a90th percentile for each 1-year age group. 11.14 Provide a 95% confidence interval for the param- eters of the regression line. 11.15 What is the predicted blood pressure for an average 13-year-old boy as estimated from the regression line? 11.16 What is the standard error of the estimate in Problem 11.15? 11.17 Answer Problems 11.15 and 11.16 for a 17-year-old boy. 11.18 Do you think the linear regression provides a good fit to the data? Why or why not? Use residual analysis to justify your answer. Cancer in Prob 11.23 an annu 11.24 rette co Hyper The INT data on women et al.) [1 quantify est