https://www.limes.one/Content/DataFiles/Man_body.txt

Upload ManBody_ data and use two variables, BodyFat and Age, and answer the questions below. I) For an additional 4 years, how much more Body Fat (on average) will a man have? (10 points) Aa. About 0.723 units A b. About 0.18 units Ac. About 0,08 units Ad. About 1.7 units Ae. About 0.472 units ll) After performing the regression analysis on these two data columns pick one number that would best answer these questions: Are these two variables, BodyFat and Age, related or not? What is this number and why? (10 points) A a. P-Value is very small thus the variables are most likely related A b. R-squared is very small thus the variables are most likely related Ac. Intercept has very small P-value thus the correlation is very good Ad. R-squared is very small thus the variables are most likely NOT related Ae. None of the above Ill) Given a man who is 26 years- old, use regression analysis and all available information in the table to predict his Body Fat. Choose the (best) interval prediction that can be deduced from the regression table. (1 0 points) Aa. 20-30 A b. 8-23 Ac. 15.4-15.5 Ad. 0.18-10.76 Ae. 4.83-6.16