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 102 101 94 77 78 D Left Arm 176 169 144 141 143 E Click the icon to view the critical values of the Pearson correlation coefficient r

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8- Hi Great Bartleby Team, I need help with this stats exercise, it has 3 parts so please provide an answer for all the parts. Thanks in advance. (please pay attention to the image posted.

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
102
101
94
77
78 D
Left Arm
176
169
144
141
143
E Click the icon to view the critical values of the Pearson correlation coefficient r
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 102 101 94 77 78 D Left Arm 176 169 144 141 143 E Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y =
(Round to one decimal place as needed.)
Given that the systolic blood pressure in the right arm is|00mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg.
(Round to one decimal place as needed.)
Data Table
Critical Values of the Pearson Correlation Coefficient r
NOTE: To test Ho:
=0 against H,: p#0,
Feject H, if the absolute
value of r is greater
than the critical value in
he table.
a= 0.05
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
0.396
0.361
0.335
0.312
0.294
0.279
0.254
0.236
0.220
a= 0.01
0.990
0.959
n
4
0.917
0.875
0.834
0.798
0.765
0.735
0.708
0.684
0.661
0.641
0.623
0.606
0.590
0.575
9
10
11
12
13
14
15
16
17
18
19
20
0.561
0.505
0.463
0.430
0.402
0.378
0.361
25
30
35
40
45
50
60
0.330
0.305
0.286
70
80
90
0.207
0.269
0.256
100
0.196
Transcribed Image Text:The regression equation is y = (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is|00mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal place as needed.) Data Table Critical Values of the Pearson Correlation Coefficient r NOTE: To test Ho: =0 against H,: p#0, Feject H, if the absolute value of r is greater than the critical value in he table. a= 0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 a= 0.01 0.990 0.959 n 4 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 9 10 11 12 13 14 15 16 17 18 19 20 0.561 0.505 0.463 0.430 0.402 0.378 0.361 25 30 35 40 45 50 60 0.330 0.305 0.286 70 80 90 0.207 0.269 0.256 100 0.196
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