Project 1: Association of Smoking and Lung Cancer Instruction: The projects will entail a through data analysis of the data provided using appropriate regression models. Use SAS software ( please submit the SAS CODES) for your data analysis and estimation. For each project, well written paper based on the methods applied and your findings. Attach summary results in the form of tables. Also attach your codes and final results as Appendix. The paper has to be double-spaced using Times New Roman 12pt. Sound analysis and correct interpretation of the key results is expected. The written report should include: (1) Introduction; (2) purpose of the study and research questions to be addressed; (3) hypotheses to be tested; (4) brief description of the data; (5) statistical methods applied including their full specifications; (5) results and interpretations; (6) summary and conclusions; and (7) limitations if any and suggestions how to improve the project for future analysis. Fit Poisson regression model of number of deaths from lung cancer using age and smoking status. Use natural logarithm of the variable population as an offset variable. Name of dataset: smoking_lung.txt This dataset has information from a Canadian study of mortality by age and smoking status. The dataset has five columns. sn: serial number (numeric) age at the start of follow-up: in five-year age groups coded 1 to 9 for 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, 80+. (string) smoke: coded 1 = never smoked, 2 = smoked cigars or pipe only, 3 = smoked cigarettes and cigar or pipe, and 4 = smoked cigarettes only, (string) population: number of male pensioners followed. (numeric) deaths: number of deaths in a six-year period. (numeric)