stage time age diagyr delta "1" 1 0.6 77 76 1 "2" 1 1.3 53 71 1 "3" 1 2.4 45 71 1 "4" 1 2.5 57 78 0 "5" 1 3.2 58 74 1 "6" 1 3.2 51 77 0 "7" 1 3.3 76 74 1 "8" 1 3.3 63 77 0 "9" 1 3.5 43 71 1 "10" 1 3.5 60 73 1 "11" 1 4 52 71 1 "12" 1 4 63 76 1 "13" 1 4.3 86 74 1 "14" 1 4.5 48 76 0 "15" 1 4.5 68 76 0 "16" 1 5.3 81 72 1 "17" 1 5.5 70 75 0 "18" 1 5.9 58 75 0 "19" 1 5.9 47 75 0 "20" 1 6 75 73 1 "21" 1 6.1 77 75 0 "22" 1 6.2 64 75 0 "23" 1 6.4 77 72 1 "24" 1 6.5 67 70 1 "25" 1 6.5 79 74 0 "26" 1 6.7 61 74 0 "27" 1 7 66 74 0 "28" 1 7.4 68 71 1 "29" 1 7.4 73 73 0 "30" 1 8.1 56 73 0 "31" 1 8.1 73 73 0 "32" 1 9.6 58 71 0 "33" 1 10.7 68 70 0 "34" 2 0.2 86 74 1 "35" 2 1.8 64 77 1 "36" 2 2 63 75 1 "37" 2 2.2 71 78 0 "38" 2 2.6 67 78 0 "39" 2 3.3 51 77 0 "40" 2 3.6 70 77 1 "41" 2 3.6 72 77 0 "42" 2 4 81 71 1 "43" 2 4.3 47 76 0 "44" 2 4.3 64 76 0 "45" 2 5 66 76 0 "46" 2 6.2 74 72 1 "47" 2 7 62 73 1 "48" 2 7.5 50 73 0 "49" 2 7.6 53 73 0 "50" 2 9.3 61 71 0 "51" 3 0.3 49 72 1 "52" 3 0.3 71 76 1 "53" 3 0.5 57 74 1 "54" 3 0.7 79 77 1 "55" 3 0.8 82 74 1 "56" 3 1 49 76 1 "57" "58" "59" "60" "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" "73" "74" "75" "76" "77" "78" "79" "80" "81" "82" "83" "84" "85" "86" "87" "88" "89" "90" 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 1.3 60 76 1 1.6 64 72 1 1.8 74 71 1 1.9 72 74 1 1.9 53 74 1 3.2 54 75 1 3.5 81 74 1 3.7 52 77 0 4.5 66 76 0 4.8 54 76 0 4.8 63 76 0 5 59 73 1 5 49 76 0 5.1 69 76 0 6.3 70 72 1 6.4 65 72 1 6.5 65 74 0 7.8 68 72 1 8 78 73 0 9.3 69 71 0 10.1 51 71 0 0.1 65 72 1 0.3 71 76 1 0.4 76 77 1 0.8 65 76 1 0.8 78 77 1 1 41 77 1 1.5 68 73 1 2 69 76 1 2.3 62 71 1 2.9 74 78 0 3.6 71 75 1 3.8 84 74 1 4.3 48 76 0 In section 1.13, data on the time to hospitalization of pneumonia in young children was discussed. The data is presented on our web site. In the sample there were 3,470 annual personal interviews. An investigator is interested in assessing race, poverty status, and their interaction on time to hospitalization of pneumonia. Use the discrete method for handling ties to answer the following questions. (a) Estimate the parameters of your model and their standard errors. Construct and interpret an \"ANOVA\" table for this model. (b) Provide point estimatesand95%condence intervalsfor the relative risk of hospitalization for pneumonia for a person raised in poverty relative to a person not raised in poverty for each race. (c) Test that blacks raised in poverty have a different hospitalization for pneumonia rate than whites not raised in poverty