Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman, Find the regression equation, letting the right am blood pressure be the predictor (x) variable. Find the best predicted systolic blooc 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 D 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 systolc blood pressure in the left ami is mm Hg. (Round to one decimal place as needed.)
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman, Find the regression equation, letting the right am blood pressure be the predictor (x) variable. Find the best predicted systolic blooc 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 D 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 systolc blood pressure in the left ami is mm Hg. (Round to one decimal place as needed.)
MATLAB: An Introduction with Applications
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Transcribed Image Text:10.2.17
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right am 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 systole blood pressure in the left am is mm Hg.
(Round to one decimal place as needed.)
Transcribed Image Text:i Data Table
Critical Values of the Pearson Correlation Coefficient r
a = 0.01
NOTE: To test H:
b = 0 against H,:p#0,
reject H, if the absolute
a = 0.05
4
0.950
0.990
0.878
0.959
6.
0,811
0.917
Hvalue of r is greater
than the critical value in
7
0.754
0.875
8
0.707
0.834
the table.
9
0.666
0.798
10
0.632
0.765
11
0.602
0,735
12
O 575
0.576
O 552
0.553
0.532
0 514
0.708
13
0.684
14
0.661
15
0.514
0.641
0.623
16
0.497
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
0.402
40
0.312
45
0.294
0:378
50
0.279
0.361
0,330
0.305
60
0.254.
70
0.236
80
0.220
0.286
90
0.207
0.269
100
0.196
0 256
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