3: What We Are Trying to Do Here with Logistic Regression Which statement most closely resembles what we are trying to do here with our logistic regression binary classifier? A. We want to predict whether or not a person will have diabetes (our binary outcome). We want to use some combination of glucose, insulin, BMI, and other data, and we realize that the relationship might not be linear. If you double the BMI, you might not double the chances of having diabetes. B. We want to predict whether or not a person will have diabetes (our binary outcome). We want to use some combination of glucose, insulin, BMI, and other data, and we expect that the relationship will be linear for all variables. In other words, if you double glucose, you will double the diabetes. If you double insulin, you will double the diabetes. And if you double glucose and insulin, you will have four times the diabetes. C. We want to predict the BMI of a person based on their diabetes status. We want to use the logistic regression S-curve to determine what the 25th, 50th, 75th, and 99th percentiles of BMI for diabetic and non-diabetic people in