Question

A doctor wanted to determine whether there is a relation between a male's age and his HDL (so-called good) cholesterol. The doctor randomly selected 17 of his patients and determined their HDL cholesterol. The data obtained by the doctor is the in the data table below. Complete parts (a) through (f) below. Click the icon to view the data obtained by the doctor. C. Ho: B1 = 0; HT:B1+0 Use technology to compute the P-value. Use the Tech Help button for further assistance. Age vs. HDL Cholesterol data The P-value is 0.497 (Round to three decimal places as needed.) What conclusion can be drawn at a = 0.01 level of significance? Age, x HDL Cholesterol, y HDL Cholesterol, y Age, x 40 O A. Reject the null hypothesis because the P-value is greater than a = 0.01 B. Do not reject the null hypothesis because the P-value is greater than a =0.01. O C. Do not reject the null hypothesis because the P-value is less than a = 0.01. OD. Reject the null hypothesis because the P-value is less than a = 0.01. (e) Assuming the residuals are normally distributed, construct a 95% confidence interval about the slope of the true least-squares regression line. Print Done Lower Bound = -0.613 Upper Bound = 0.311 (Round to three decimal places as needed.) (f) For a 42-year-old male patient who visits the doctor's office, would using the least-squares regression line obtained in part (b) to predict the HDL cholesterol of this patient be recommended? If the null hypothesis was rejected, that means that this least-squares regression line can accurately predict the HDL cholesterol of a patient. If the null hypothesis was not rejected, that means the least-squares regression line cannot accurately predict the HDL cholesterol of a patient. Should this least-squares regression line be used to predict the patient's HDL cholesterol? Choose the correct answer below. O A. No, because the null hypothesis was rejected. OB. Yes, because the null hypothesis was not rejected. C. No, because the null hypothesis was not rejected. OD. Yes, because the null hypothesis was rejected. A good estimate for the HDL cholesterol of this patient is (Round to two decimal places as needed.)

Answer 1

since regression is not significant,

a good estimate for the HDL cholestrol =average value of y variable

=(58+56+35+57+36+39+41+40+47+45+64+55+34+45+37+56+27)/17 =45.41