What are the important predictors of onset of diabetes in a cohort of 786 female Pima Indians? The data set is PIMA.SAS7BDAT. Read in the data set and run a PROC MEANS and you will see a data dictionary. Ignore all variables starting with M_. Please note the Diabetes variable is a covariate and "Y" is the outcome variable indicating whether you have diabetes or not. Interpret a 10 point change in glucose. Compare ages 40, 50, and 60 to 30. Support your findings with key output and summarize your results and conclusions. Results: Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff Age 60 vs 30 -0.2348 0.3647 -0.64 0.5197 0.05 -0.9496 0.4800 0.7907 0.3869 1.6161 Estimate Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff Age 50 vs 30 0.3079 0.3046 1.01 0.3121 0.05 -0.2892 0.9050 1.3606 0.7489 2.4718 Estimate Label Estimate Standard Error z Value Pr > |z| Alpha Lower Upper Exponentiated Exponentiated Lower Exponentiated Upper Diff Age 40 vs 30 0.5207 0.2624 1.98 0.0472 0.05 0.006508 1.0349 1.6833 1.0065 2.8150