Question Help v Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x)...


Question Help v<br>Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in<br>the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05.<br>Right Arm<br>102<br>101<br>94<br>78<br>77 D<br>Left Arm<br>176<br>170<br>146<br>146<br>146<br>E Click the icon to view the critical values of the Pearson correlation coefficient r<br>The regression equation is y = 64.1 + 1.0 x.<br>(Round to one decimal place as needed.)<br>Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is<br>(Round to one decimal place as needed.)<br>mm Hg.<br>

Extracted text: Question Help v Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a significance level of 0.05. Right Arm 102 101 94 78 77 D Left Arm 176 170 146 146 146 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = 64.1 + 1.0 x. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 85 mm Hg, the best predicted systolic blood pressure in the left arm is (Round to one decimal place as needed.) mm Hg.
Data Table<br>Critical Values of the Pearson Correlation Coefficient r<br>NOTE: To test Ho:<br>p = 0 against H,: p#0,<br>reject Ho if the absolute<br>value of r is greater<br>than the critical value in<br>the table.<br>a = 0.05<br>C = 0.01<br>4<br>0.950<br>0.990<br>0.878<br>0.959<br>0.811<br>0.917<br>7<br>0.754<br>0.875<br>8<br>0.707<br>0.834<br>0.666<br>0.798<br>10<br>0.632<br>0.765<br>11<br>0.602<br>0.735<br>12<br>0.576<br>0.708<br>13<br>0.553<br>0.684<br>14<br>0.532<br>0.661<br>15<br>0.514<br>0.641<br>16<br>0.497<br>0.623<br>17<br>0.482<br>0.606<br>18<br>0.468<br>0.590<br>19<br>0.456<br>0.575<br>20<br>0.444<br>0.561<br>25<br>0.396<br>0.505<br>30<br>0.361<br>0.463<br>35<br>0.335<br>0.430<br>40<br>0.312<br>0.402<br>

Extracted text: Data Table Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: p = 0 against H,: p#0, reject Ho if the absolute value of r is greater than the critical value in the table. a = 0.05 C = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 7 0.754 0.875 8 0.707 0.834 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40 0.312 0.402

Jun 01, 2022
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