Ship damage data, from "Generalized Linear Models" by McCullagh and Nelder, section 6.3.2, page 137. Number of damage incidents and aggregate months of service by ship type, year of construction, and...

I need SAS codes generated from the file below to answer the following questions (histograms, correlation, and regression analysis is needed too in the coding outputs):Is the number of damage incidents proportional to the aggregate months of service?Which ship types have the highest risk of damage and which ones carry the lowest risk?Are older ships more vulnerable to damage?


Ship damage data, from "Generalized Linear Models" by McCullagh and Nelder, section 6.3.2, page 137. Number of damage incidents and aggregate months of service by ship type, year of construction, and period of operation. The '*' represents necessarily empty cells, since there are no ships in those classes. type: A-E year of construction: 1960-64, 65-69, 70-74, 75-79 period of operation : 1960-74, 75-79 aggregate months of service number of damage incidents A 60 60 127 0 A 60 75 63 0 A 65 60 1095 3 A 65 75 1095 4 A 70 60 1512 6 A 70 75 3353 18 A 75 60 0 * A 75 75 2244 11 B 60 60 44882 39 B 60 75 17176 29 B 65 60 28609 58 B 65 75 20370 53 B 70 60 7064 12 B 70 75 13099 44 B 75 60 0 * B 75 75 7117 18 C 60 60 1179 1 C 60 75 552 1 C 65 60 781 0 C 65 75 676 1 C 70 60 783 6 C 70 75 1948 2 C 75 60 0 * C 75 75 274 1 D 60 60 251 0 D 60 75 105 0 D 65 60 288 0 D 65 75 192 0 D 70 60 349 2 D 70 75 1208 11 D 75 60 0 * D 75 75 2051 4 E 60 60 45 0 E 60 75 0 * E 65 60 789 7 E 65 75 437 7 E 70 60 1157 5 E 70 75 2161 12 E 75 60 0 * E 75 75 542 1