I. To test the amount Y of a drug in a patient's bloodstream after X number of hours, observations were done for 5 hr intervals for five patients. The following data with + repeated observations on...



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I.<br>To test the amount Y of a drug in a patient's bloodstream after X number of hours,<br>observations were done for 5 hr intervals for five patients. The following data with<br>+ repeated observations on each instance of X was collected:<br>X<br>Y<br>X<br>Y<br>X<br>Y<br>5<br>25<br>15<br>21<br>25<br>14<br>25<br>15<br>18<br>25<br>13<br>5<br>24<br>15<br>17<br>25<br>13<br>5<br>23<br>15<br>15<br>25<br>12<br>5<br>21<br>15<br>14<br>25<br>8<br>10<br>22<br>20<br>19<br>10<br>20<br>20<br>16<br>10<br>19<br>20<br>13<br>10<br>17<br>20<br>12<br>10<br>15<br>20<br>10<br>• Give a simple linear regression model that fits Y (drug amount) as a function of tle X<br>(hours after initial injection)<br>• Give a ANOVA table testing for the significance of the model you found and for testing<br>for goodness of fit at a=0.05 ||<br>• Provide a 95% confidence interval for the slope of the linear regression model and<br>determine if it is not zero.<br>

Extracted text: I. To test the amount Y of a drug in a patient's bloodstream after X number of hours, observations were done for 5 hr intervals for five patients. The following data with + repeated observations on each instance of X was collected: X Y X Y X Y 5 25 15 21 25 14 25 15 18 25 13 5 24 15 17 25 13 5 23 15 15 25 12 5 21 15 14 25 8 10 22 20 19 10 20 20 16 10 19 20 13 10 17 20 12 10 15 20 10 • Give a simple linear regression model that fits Y (drug amount) as a function of tle X (hours after initial injection) • Give a ANOVA table testing for the significance of the model you found and for testing for goodness of fit at a=0.05 || • Provide a 95% confidence interval for the slope of the linear regression model and determine if it is not zero.

Jun 11, 2022
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