Evaluate the relationship between all-cause mortality and BMI adjusting for covariates. Test interaction between sex and age. What is the effect of a BMI of 23 vs. a BMI of 20, 30, and 35 (Put BMI=23 in the denominator)? Support your findings with key output and summarize your results and conclusions. Results: Estimate Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff BMI 35 vs 23 0.5763 0.07470 7.71 <.0001 0.05 0.4299 0.7227 1.7794 1.5371 2.0599 Estimate Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff BMI 30 vs 23 0.3162 0.05734 5.51 <.0001 0.05 0.2038 0.4286 1.3719 1.2260 1.5350 Estimate Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff BMI 20 vs 23 0.1819 0.03850 4.72 <.0001 0.05 0.1064 0.2574 1.1995 1.1123 1.2935