Applicability of all the Statistical tools

Apply your knowledge for a real data set in order to understand the applicability of all the Statistical tools learned in this course. Attached is a dataset that lists estimates of the percentage of body fat determined by underwater weighing and various body circumference measurements for 252 men from K.W. Penrose, A.G. Nelson, A.G. Fisher, FACSM, Human Performance Research Center, Brigham Young University, Provo, Utah 84602 as listed in Medicine and Science in Sports and Exercise, vol. 17, no. 2, April 1985, p. 189. Some experts claim BMI (Body Mass Index) as the most accurate and simple way to determine the effect of weight on your health. Meanwhile, in September 2000, the American Journal of Clinical Nutrition published a study showing that body-fat percentage may be a better measure of your risk of weight-related diseases than BMI. An important question that arises is whether there is a relationship between ‘Body Fat Percentage’ and ‘Body Mass Index’ as a predictor. Body Mass Index is defined as With the use of the statistical techniques used in this programme (especially simple linear regression), explain whether BMI can be used to explain the Body Fat percentage for an individual based on the dataset provided. Clearly explain and interpret your results.