a. What is the explanatory variable? b. What is the response variable? change c. Is there a significant linear relationship between the number of weekly hours that a person exercises and the person's metabolic rate? Support your answer using a decision point and show all necessary steps. growing on interpretation of the slope of the estimated regression line in () paying special attention to the units of measurement for the data. lect a mole's metabolic rate to by 5 hours?i. Calculate the metabolic rate when the number of hours is 50. j. Calculate a 95% prediction interval at x = 50. And interpret your answer. urveys more 22,000 Americans ov the age of 50 every two years. A subsample of the anticipated in a 2009 jet-based survey that collected information on a pical drend ng health (physical and mental health behaviors). pactations, and consumption), and our health is flee now?" The k. What is the value of the R.M.S. error? What does R.M.S stand for? Interpret this value in the context of the equation.1. Assess the linearity assumption. m. Assess the homoscedasticity assumption. new even the age of 50 ors states?" Make sure you use the three -step How point to answer this questiond. Interpret the given value of r. e. If we converted the number of hours to minutes, how would the correlation change? f. What is the least square regression line? 9. Provide an interpretation of the slope of the estimated regression line in (f), paying special attention to the units of measurement for the data. h. By how much can you expect a male's metabolic rate to increase if he increases his weekly exercise hours by 5 hours?1. In order to investigate the relationship between the number of weekly hours that a person exercises and the person's metabolic rate (which is defined as the number of calories burned per day), a sample of 12 males was selected. The data from this sample are summarized by various SGC output below. Least Squares Standard Parameter Estimate Error Statistic P-Value Intercept 91.2549 30.7449 2.96813 0.0141 Slope 3.39477 0.62035 5.47235 0.0003 Correlation Coefficient = 0.865832 R-squared = 74.9666 percent R-squared (adjusted for d.f.) = 72.4632 percent aber of weekly hours Standard Error of Est. = 19.1833 The person's metabolic rate? Support your I necessary steps 340 310 28 Metabolic Rate 250 220 190 40 45 50 55 Exercise Hours Residual Plot residual -10 45 50 65 40 Exercise Hours