Listed below are systolic blood pressure measurements? (in mm? Hg) obtained from the same woman. Find...

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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 theleft arm given that the systolic blood pressure in the right armis
8585
mm Hg. Use a significance level of
0.050.05.
Right Arm
100
99
92
79
80
Left Arm
176
170
145
144
146
n
alpha?equals=0.05
alpha?equals=0.01
?NOTE: To test
Upper H 0H0?:
rho?equals=0
against
Upper H 1H1?:
rho?not equals??0,
reject
Upper H 0H0
if the absolute value of r is greater than the critical value inthe table.
4
0.950
0.990
5
0.878
0.959
6
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9
0.666
0.798
10
0.632
0.765
11
0.602
0.735
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
0.482
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
40
0.312
0.402
45
0.294
0.378
50
0.279
0.361
60
0.254
0.330
70
0.236
0.305
80
0.220
0.286
90
0.207
0.269
100
0.196
0.256
PrintDone
What is the regression equation?

Right Arm	100	99	92	79	80
Left Arm	176	170	145	144	146

n	alpha?equals=0.05	alpha?equals=0.01	?NOTE: To test Upper H 0H0?: rho?equals=0 against Upper H 1H1?: rho?not equals??0, reject Upper H 0H0 if the absolute value of r is greater than the critical value inthe table.
4	0.950	0.990
5	0.878	0.959
6	0.811	0.917
7	0.754	0.875
8	0.707	0.834
9	0.666	0.798
10	0.632	0.765
11	0.602	0.735
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	0.482	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
40	0.312	0.402
45	0.294	0.378
50	0.279	0.361
60	0.254	0.330
70	0.236	0.305
80	0.220	0.286
90	0.207	0.269
100	0.196	0.256

Answer & Explanation Solved by verified expert

4.1 Ratings (553 Votes)

SolutionIn excel we use data analysis in data menu and then regressionRight arm as x and left arm as ySUMMARY OUTPUTRegression StatisticsMultiple R08582RSquare07365Adjusted R See Answer

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