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 100 mm Hg. Use a significance level of 0.05. Right Arm 103 102 95 80 79 D Left Arm 176 171 149 147 148 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = |х. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 100 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal plac as needed.) Data Table Critical Values of the Pearson Correlation Coefficientr x = 0.05 a = 0.01 NOTE: To test Ho: 4 0.950 0.990 p= 0 against H1:p#0, 0.878 0.959 reject Ho if the absolute value of r is greater than the critical value in the table. 0.811 0.917 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 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 0.236 0.220. 70 0.305 80 0 286. Print Done
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 100 mm Hg. Use a significance level of 0.05. Right Arm 103 102 95 80 79 D Left Arm 176 171 149 147 148 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = |х. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 100 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal plac as needed.) Data Table Critical Values of the Pearson Correlation Coefficientr x = 0.05 a = 0.01 NOTE: To test Ho: 4 0.950 0.990 p= 0 against H1:p#0, 0.878 0.959 reject Ho if the absolute value of r is greater than the critical value in the table. 0.811 0.917 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 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 0.236 0.220. 70 0.305 80 0 286. Print Done
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
Related questions
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Transcribed Image 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 100 mm Hg. Use a significance level of 0.05.
Right Arm
103
102
95
80
79 D
Left Arm
176
171
149
147
148
Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y =
|х.
(Round to one decimal place as needed.)
Given that the systolic blood pressure in the right arm is 100 mm Hg, the best predicted systolic blood pressure in the left arm is
mm Hg.
(Round to one decimal plac
as needed.)
Transcribed Image Text:Data Table
Critical Values of the Pearson Correlation Coefficientr
x = 0.05
a = 0.01
NOTE: To test Ho:
4
0.950
0.990
p= 0 against H1:p#0,
0.878
0.959
reject Ho if the absolute
value of r is greater
than the critical value in
the table.
0.811
0.917
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
45
0.294
0.378
50
0.279
0.361
60
0.254
0.330
0.236
0.220.
70
0.305
80
0 286.
Print
Done
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