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Our blood pressure is something that concerns most people because it's bad if it's too high and bad if it's too low. We are interested

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Our blood pressure is something that concerns most people because it's bad if it's too high and bad if it's too low. We are interested in what variables may be related to our systolic blood pressure. In particular we want to see if weight (in kilograms) is related to systolic blood pressure (in mm of mercury). In Fall 2015 a random sample of 20 residents in Nostress, Ontario was selected, and for each resident their weight and . Systolic blood pressure were recorded. We want to predict the systolic blood pressure from weight. The regression model assumptions have been checked, and they are all satisfied. Some relevant Minitab output is below Aggression Analysis: BP versus Weight fficients coefficient: Coef SE Coef constant. 52.59 20.1 Age. 1.045 0.271 Aggression Line: BP = 52.59 + 1.045 Weight a) One of the subjects in the data set weighed 68 kilograms and had a systolic blood pressure of 128 mm of mercury. Find the predicted systolic blood pressure and residual. icted value = 124.01 mm of mercury (Answer to 2 decimal places).(c) Calculate the value of the appropriate test statistic for this test. Test Statistic = (Give your answer with 2 values after the decimal). (d) The p-value for the test is below 0.01. Choose the best conclusion from below: A. At the 5% level we conclude there is no linear association between mean blood pressure and weight. B. At the 5% level we conclude there a linear association between mean blood pressure and weight. C. At the 5% level there is strong evidence of no linear association between mean blood pressure and weight. D. At the 5% level there is strong evidence of a linear association between mean blood pressure and weight.(e) Based on the p-value in (d), what can we say about a 95% confidence interval for B,? Choose the best answer from below. A. It would not contain 0 since p-value > 0.05 B. It would contain 0 since p-value > 0.05 C. It would contain 0 since p-value

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(a) One of the subjects in the data set weighed 68 kilograms and had a systolic blood pressure of 128 mm of mercury. Find the predicted systolic blood pressure and residual. Predicted value = 124.01 mm of mercury (Answer to 2 decimal places). Residual = 3.99 mm of mercury (Answer to 2 decimal places). We want to test if there is a linear association between weight and blood pressure. (b) Choose the correct form of Ha from below. O A. Ha: By # 0 OB. Ha: Bo 0 Time Remaini

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