Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 9.13 8 8.15 13 8.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. A Ay 10+ 8- 6- 4- 2- 0- . *** OB. Ay 10+ 8 a 6 4- 2- 0 9 8.77 …….…………... 12 16 G 11 9.25 14 8.11 OC. 10- 8- 6- 4- 24 ******** 6 6.12 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) 4 3.11 12 9.13 D Table of Critical Values n 4 5 6 7 7 8 9 10 11 " 12 13 14 15 16 16 17 19 18 19 19 20 25 30 35 40 AE 45 50 60 a = .05 70 80 90 100 .950 878 .811 .754 .707 .666 .632 Print .602 1004 576 .553 532 www 514 497 482 468 456 444 .396 .361 335 312 204 294 7 7.27 279 254 236 220 207 .196 a = 01 .990 .959 917 .875 834 .798 .765 .735 .708 .684 761 361 .330 .305 286 269 256 NOTE: To test Ho: P = 0 against H; p = 0, reject Ho if the absolute value of ris greater than the critical value in the table. .661 .641 GAT .623 .606 .590 500 .575 .561 505 463 430 402 770 .378 Done 5 4.73

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Question
Use the given data set to complete parts (a) through (c) below. (Use α = 0.05.)
10
9.13
8
8.15
13
8.74
X
y
Click here to view a table of critical values for the correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
A.
Ау
10-
8-
6-
4-
2-
•
0 4
60
2
8 12
X
16
The linear correlation coefficient is r =
(Round to three decimal places as needed.)
Get more help.
B.
Ay
10-
8-
6-
4-
2-
to
0 4
PO
9
8.77
X
8 12 16
Q
11
9.25
14
8.11
10-
8-
co
Ay
6-
4-
NA
2-
0-
0
A.
4
6
6.12
X
8 12 16
b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
Q
4
3.11
12
9.13
□
Table of Critical Values
n
45678
9
10
FAMHS6189
11
12
13
14
15
17
20
25
30
35
40
45
α = .05
Print
.950
.878
.811
.754
.707
.666
.632
.602
.576
.553
.532
.514
.497
.482
.468
.456
.444
.396
.361
7
7.27
.335
.312
.294
.279
.254
.236
.220
.207
.196
α = .01
.990
.959
.917
.875
.834
.798
.765
.735
.708
.684
.661
.641
.623
.606
.590
.575
.561
.505
.463
.430
.402
.378
50
60
70
80
90
100
NOTE: To test Ho: p = 0 against H₁: p = 0,
reject Ho if the absolute value of r is
greater than the critical value in the table.
.361
.330
.305
.286
.269
.256
Done
5
4.73
X
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use α = 0.05.) 10 9.13 8 8.15 13 8.74 X y Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. A. Ау 10- 8- 6- 4- 2- • 0 4 60 2 8 12 X 16 The linear correlation coefficient is r = (Round to three decimal places as needed.) Get more help. B. Ay 10- 8- 6- 4- 2- to 0 4 PO 9 8.77 X 8 12 16 Q 11 9.25 14 8.11 10- 8- co Ay 6- 4- NA 2- 0- 0 A. 4 6 6.12 X 8 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Q 4 3.11 12 9.13 □ Table of Critical Values n 45678 9 10 FAMHS6189 11 12 13 14 15 17 20 25 30 35 40 45 α = .05 Print .950 .878 .811 .754 .707 .666 .632 .602 .576 .553 .532 .514 .497 .482 .468 .456 .444 .396 .361 7 7.27 .335 .312 .294 .279 .254 .236 .220 .207 .196 α = .01 .990 .959 .917 .875 .834 .798 .765 .735 .708 .684 .661 .641 .623 .606 .590 .575 .561 .505 .463 .430 .402 .378 50 60 70 80 90 100 NOTE: To test Ho: p = 0 against H₁: p = 0, reject Ho if the absolute value of r is greater than the critical value in the table. .361 .330 .305 .286 .269 .256 Done 5 4.73 X
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