complete all parts step by step

A doctor knows that muscle mass decreases with age. To help him understand this relationship in the table below. women, the doctor selected women beginning with age 40 and ending with age 80. The data is given in x is age, y is a measure of muscle mass (the higher the measure, the more muscle mass). (Age) (Muscle Mass) (Age) (Muscle Mass) a. i. Use your calculator to make a scatter plot that shows how age helps explain muscle mass. ii. Does there appear to be a linear relationship? iii. Find the Pearson sample correlation coefficient, r. iv. What does r tell you about the strength of the relationship? Find the least squares regression equation. Interpret slope and y-intercept in context of the problem. Be sure to graph this regression equation within your scatter plot to make sure your equations appears to "best fit" the data. c. Predict the muscle mass for women aged 60 years. d. Is the predicted value in part c. an interpolated or extrapolated value? Explain. If the muscle mass of a woman was determined to be 58, what age does the model predict she would be? f. Is the predicted value in part e, an interpolated or extrapolated value? Explain. . Find the coefficient of determination, r, and interpret its meaning within the context of this