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 91 80 81 O Left Arm 175 168 179 147 146 E Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y =O+Dx. (Round to one decimal place as needed.)

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8- Hi Great Bartleby Team, I need help with this stats exercise, it has 2 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 90 mm Hg. Use a significance level of 0.05."

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
91
80
81 D
Left Arm
175
168
179
147
146
E 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.)
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 91 80 81 D Left Arm 175 168 179 147 146 E 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
mm Hg.
(Round to one decimal place as needed.)
Data Table
Critical Values of the Pearson Correlation Coefficient r
NOTE: To test H
p=0 against H,: p#0,
reject Ho if the absolute
value of r is greater
than the critical value in
the table.
a = 0.05
0.950
a = 0.01
0.990
0.959
0.917
0.878
6.
0.811
7
0.754
0.875
0.834
0.798
8.
0.707
9.
0.666
0.632
0.765
0.735
0.708
0.684
0.661
10
0.602
0.576
11
12
13
0.553
0.532
0.514
14
0.641
0.623
0.606
0.590
15
16
0.497
0.482
17
0.468
0.456
0.444
18
19
0.575
20
0.561
25
0.396
0.505
30
0.361
0.463
0.335
0.312
0.294
0.279
0.254
35
0.430
0.402
0.378
0.361
0.330
40
45
50
60
0.236
0.220
0.207
0.196
0.305
0.286
0.269
0.256
70
80
90
100
Transcribed Image Text: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 mm Hg. (Round to one decimal place as needed.) Data Table Critical Values of the Pearson Correlation Coefficient r NOTE: To test H p=0 against H,: p#0, reject Ho if the absolute value of r is greater than the critical value in the table. a = 0.05 0.950 a = 0.01 0.990 0.959 0.917 0.878 6. 0.811 7 0.754 0.875 0.834 0.798 8. 0.707 9. 0.666 0.632 0.765 0.735 0.708 0.684 0.661 10 0.602 0.576 11 12 13 0.553 0.532 0.514 14 0.641 0.623 0.606 0.590 15 16 0.497 0.482 17 0.468 0.456 0.444 18 19 0.575 20 0.561 25 0.396 0.505 30 0.361 0.463 0.335 0.312 0.294 0.279 0.254 35 0.430 0.402 0.378 0.361 0.330 40 45 50 60 0.236 0.220 0.207 0.196 0.305 0.286 0.269 0.256 70 80 90 100
Expert Solution
Step 1

Let X be the independent variable  = Right arm

Let Y be the dependent variable = Left arm

Statistics homework question answer, step 1, image 1

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