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 90 mm Hg. Use a significance level of 0.05. Right Arm 100 99 93 Left Arm 177 170 147 149 147 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = x. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 90 mm Hg, the best predicted systolic blood pressure in the left arm is (Round to one decimal place as needed.) mm Hg. Data Table Critical Values of the Pearson Correlation Coefficientr a = 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 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 70 0.236 0.305 80 0 220. 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 90 mm Hg. Use a significance level of 0.05. Right Arm 100 99 93 Left Arm 177 170 147 149 147 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = x. (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 90 mm Hg, the best predicted systolic blood pressure in the left arm is (Round to one decimal place as needed.) mm Hg. Data Table Critical Values of the Pearson Correlation Coefficientr a = 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 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 70 0.236 0.305 80 0 220. 0 286. Print Done
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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 90 mm Hg. Use a significance level of 0.05.
Right Arm
100
99
93
Left Arm
177
170
147
149
147
Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y =
x.
(Round to one decimal place as needed.)
Given that the systolic blood pressure in the right arm is 90 mm Hg, the best predicted systolic blood pressure in the left arm is
(Round to one decimal place as needed.)
mm Hg.
Transcribed Image Text:Data Table
Critical Values of the Pearson Correlation Coefficientr
a = 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
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
70
0.236
0.305
80
0 220.
0 286.
Print
Done
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