Jerry Stevenson is the manager of a medical clinic in Scottsdale, AZ. He wants to analyze patient data to identify high-risk patients for cardiovascular diseases. From medical literature, he learned that the risk of cardiovascular diseases is influenced by a patients age, body mass index (BMI), amount of exercise, race, and education level. Jerry has compiled the accompanying data file with the following variables for his clinics patients: race (Race), education level (Education), body weight in kilograms (Weight), height in meters (Height), date of birth (BirthDate), and number of minutes of exercise per week (Exercise). Click here for the Excel Data File a. Create a new variable called BMI which contains the body mass index of the patients. BMI is calculated as weight in kilograms / (height in meters)2. What is the average BMI of the patients? Note: Round your answer to 2 decimal places. b. Create a new variable Age which contains the patients ages as of January 1, 2022. What is the average age of the patients? Note: Round your answer to 2 decimal places. c. Bin the patients ages into 5 equal size groups. Label the groups using numbers 1 ( youngest) to 5 (oldest). How many patients are in group 4? d. Bin the patients total minutes of exercise per week into 5 equal size groups. Label the groups using numbers 1 ( highest values) to 5 (lowest values). How many patients are in group 5? e. Bin the patients BMI into 5 equal size groups. Label the groups using numbers 1 ( lowest values) to 5 (highest values). How many patients are in group 1? f-1. Create a risk score for each patient by concatenating the group numbers obtained in parts c, d and e. f-2. How many patients are in the risk group of 555?