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. 100 169 Right Arm 101 92 78 77 0 Data Table Left Arm 175 142 143 143 A Click the icon to view the critical values of the Pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: The regression equation is y=+x. (Round to one decimal place as needed.) a=0.05 a= 0.01 b=0 against H,: p#0, 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.950 reject Ho if the absolute value of r is greater than the critical value in the table. 0.878 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 mm Hg. (Round to one decimal place as needed.) 6. 0.811 0.754 0.707 0.666 0.632 0.602 7 8 10 11 12 0.576 0.708 0.684 0.553 0.532 0.514 13 0.661 0.641 0.623 14 15 0.497 0.482 0.468 16 0.606 17 0.590 18 0.575 0.456 0.444 0.396 19 0.561 20 25 30 0.505 0.463 0.361 0.430 0.402 0.378 0.361 0.330 0.335 35 40 45 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 50 60 70 80 90 100 0.305 0.286 0.269 0.256 Print Done Enter your answer in each of the answer boxes. MacBook Air
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. 100 169 Right Arm 101 92 78 77 0 Data Table Left Arm 175 142 143 143 A Click the icon to view the critical values of the Pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: The regression equation is y=+x. (Round to one decimal place as needed.) a=0.05 a= 0.01 b=0 against H,: p#0, 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.950 reject Ho if the absolute value of r is greater than the critical value in the table. 0.878 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 mm Hg. (Round to one decimal place as needed.) 6. 0.811 0.754 0.707 0.666 0.632 0.602 7 8 10 11 12 0.576 0.708 0.684 0.553 0.532 0.514 13 0.661 0.641 0.623 14 15 0.497 0.482 0.468 16 0.606 17 0.590 18 0.575 0.456 0.444 0.396 19 0.561 20 25 30 0.505 0.463 0.361 0.430 0.402 0.378 0.361 0.330 0.335 35 40 45 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 50 60 70 80 90 100 0.305 0.286 0.269 0.256 Print Done Enter your answer in each of the answer boxes. MacBook Air
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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
101
100
92
78
77 O
Left Arm
175
169
142
143
A Data Table
143
A 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.)
Critical Values of the Pearson Correlation Coefficient r
a= 0.01
0.990
a =0.05
NOTE: To test Hg:
4
0.950
b%30 against H,:p#0,
reject Ho if the absolute
value of r is greater
than the critical value in
the table
5
0.878
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 mm Hg.
(Round to one decimal place as needed.)
0.959
0.917
0.875
6.
0.811
7
0.754
0.707
0.666
0.834
9
0.798
0.765
0.735
10
0.632
11
0.602
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
0.606
0.482
0.468
0.456
18
0.590
0.575
0.561
19
0.444
0.396
0.361
0.335
0.312
0.294
20
25
30
0.505
0.463
0.430
0.402
35
40
0.378
0.361
0.330
0.305
0.286
0.269
0.256
45
0.279
50
60
0.254
0.236
70
0.220
0.207
0.196
80
90
100
Enter your answer in each of the answer boxes.
Done
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