MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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
100
99
91
76
75 O
Left Arm
177
171
148
146
148
E Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y= 65.6 + 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 158.0 mm Hg.
(Round to one decimal place as needed.)
O Data Table
Critical Values of the Pearson Correlation Coefficient r
a = 0.05
a = 0.01
NOTE: To test H,: p=0
n
0.950
against H,:p 0, reject
H, if the absolute value
of r is greater than the
0.990
5
0.878
0.959
0.811
0.917
0.754
0.707
7
0.875
0.834
critical value in the
8
table.
6.
0.666
0.798
0.632
0.602
10
0.765
11
0.735
12
0.576
0.708
0.684
13
0.553
14
0.532
0.661
0.514
0.497
0.641
0.623
15
16
0.482
0.468
17
0.606
18
0.590
0.575
0.561
0.505
19
0.456
20
0.444
0.396
25
0.361
0.335
30
0.463
35
0.430
40
0.312
0.402
45
50
0.294
0.279
0.378
0.361
60
0.254
0.330
70
0.236
0.305
80
0.220
0.286
0.269
0.256
90
0.207
100
0.196
Print
Done
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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 85 mm Hg. Use a significance level of 0.05. Right Arm 100 99 91 76 75 O Left Arm 177 171 148 146 148 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y= 65.6 + 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 158.0 mm Hg. (Round to one decimal place as needed.) O Data Table Critical Values of the Pearson Correlation Coefficient r a = 0.05 a = 0.01 NOTE: To test H,: p=0 n 0.950 against H,:p 0, reject H, if the absolute value of r is greater than the 0.990 5 0.878 0.959 0.811 0.917 0.754 0.707 7 0.875 0.834 critical value in the 8 table. 6. 0.666 0.798 0.632 0.602 10 0.765 11 0.735 12 0.576 0.708 0.684 13 0.553 14 0.532 0.661 0.514 0.497 0.641 0.623 15 16 0.482 0.468 17 0.606 18 0.590 0.575 0.561 0.505 19 0.456 20 0.444 0.396 25 0.361 0.335 30 0.463 35 0.430 40 0.312 0.402 45 50 0.294 0.279 0.378 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 0.269 0.256 90 0.207 100 0.196 Print Done
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