Doctors studying how the human body assimilates medication inject some patients with penicillin, and then monitor the concentration of the drug (in unitsfcc) in the patientsr blood for seven hours. First they tried to t a linear model. The regression analysis and residuals plot are shown below. '5' I r- 3 II I 'I a a $3. I +44h D 10 2B 30 precidedicm Time in hours {x-axis) Concentration: 40.3266 5.95956 time in hours R squared = 90.8% What is the predictor variable for this mode]? Choose the best answer below. 0 The predictor variable is the amount of penicillin. O The predictor variable is the concentration of the drug [in units/cc). O The predictor variable is the the blood type of the patient. 0 The predictor variable is the time in hours. Doctors studying how the human body assimilates medication inject some patients with penicillin, and then monitor the concentration of the drug (in units/cc) in the patients' blood for seven hours. First they tried to fit a linear model. The regression analysis and residuals plot are shown below. Residual 0 10 20 30 predicted( C/T) Time in hours (x-axis) Concentration= 40.3266 - 5.95956 time in hours R squared = 90.8% What is the response variable for this model? Choose the best answer below. O The response variable is the amount of penicillin. O The response variable is the concentration of the drug (in units/cc). O The response variable is the time in hours. O The response variable is the the blood type of the patient.Doctors studying how the human body assimilates medication inject some patients with penicillin, and then monitor the concentration of the drug (in units/cc) in the patients' blood for seven hours. First they tried to fit a linear model. The regression analysis and residuals plot are shown below. Residual 0 10 20 30 predictedd C/T) Time in hours (x-axis) Concentration= 40.3266 - 5.95956 time in hours R squared = 90.8% Is a linear model appropriate for this data? Explain why or why not. Type your answer in the text box below.Below is a scatterplot and summary results for a random, representative sample of 54 bears from a population of bears. The horizontal axis represents length in inches and the vertical axis represents weight in pounds. 400 300 200 4D 50 60 70 LENGTH WEIGHT = 393.84 + 9.34 LENGTH, correlation coeicient (r) = 0.864 Interpret the slope of the model in context of the length and weight of the bears. Write a sentence about what the slope tells you about the bears in the text box below. Below is a scatterplot and summary results for a random, representative sample of 54 bears from a population of bears. The horizontal axis represents length in inches and the vertical axis represents weight in pounds. 500 400- WEIGHT 300 200- 100- 40 50 60 70 LENGTH WEIGHT = -393.84 + 9.84 LENGTH, correlation coefficient (r) = 0.864 What is the best predicted weight in Ibs of a bear that is 55 inches in length? Round to one decimal place. Type your numerical answer in the box below rounded to two decimal places. Your answer should be in the form XXX.XX