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...


Given that the systolic blood pressure in the right arm is 90 mm Hg, the best systolic blood pressure in the left arm is how many mm Hg?


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<br>right arm is 85 mm Hg. Use a significance level of 0.05.<br>Right Arm<br>103<br>102<br>94<br>77<br>78 O<br>Left Arm<br>176<br>171<br>145<br>147<br>146<br>Click the icon to view the critical values of the Pearson correlation coefficient r<br>The regression equation is y = 76.8 + 0.9 x.<br>(Round to one decimal place as needed.)<br>

Extracted text: 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 103 102 94 77 78 O Left Arm 176 171 145 147 146 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = 76.8 + 0.9 x. (Round to one decimal place as needed.)
Data Table<br>Critical Values of the Pearson Correlation Coefficientr<br>NOTE: To test Ho:<br>|p = 0 against H:p#0,<br>reject H, if the absolute<br>value of r is greater<br>than the critical value in<br>Ithe table.<br>x = 0.05<br>x = 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>9.<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>45<br>0.294<br>0.378<br>50<br>0.279<br>0.361<br>60<br>0.254<br>0.330<br>70<br>0.236<br>0.305<br>80<br>0.220<br>0.286<br>90<br>0.207<br>0.269<br>100<br>0.196<br>0.256<br>Print<br>Done<br>

Extracted text: Data Table Critical Values of the Pearson Correlation Coefficientr NOTE: To test Ho: |p = 0 against H:p#0, reject H, if the absolute value of r is greater than the critical value in Ithe table. x = 0.05 x = 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 9. 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 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 90 0.207 0.269 100 0.196 0.256 Print Done

Jun 07, 2022
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