Use the given data set to complete parts (a) through (c) below. (Use a=D0.05.) 10 8 13 9 11 14 6. 4. 12 7. y 7.45 6.78 12.75 7.11 7.82 8.85 6.08 5.39 8.16 6.43 5.72 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. В. Oc. OD. Ay 16- Ay 16- Ay 16- Ay 16- 12- 12- 12- 12- 8- 8- 8- 8- 4- 4- 4- 4- 0- 4 0- 0- 4 0- 8. 12 16 4 8 12 16 8. 12 16 4 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. The linear correlation coefficient is r= (Round to three decimal places as needed.)

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Chapter1: Starting With Matlab
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Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)
10
8
13
11
14
6.
4
12
y
7.45
6.78
12.75
7.11
7.82
8.85
6.08
5.39
8.16
6.43
5.72
E Click here to view a table of critical values for the correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
O A.
В.
c.
OD.
Ay
16-
Ay
16-
Ay
16-
Ay
16-
12-
12-
12-
12-
8-
8-
8-
8-
00 ..
......
4-
4-
4-
4-
0-
4
0-
0-
12 16
0-
0.
8.
12 16
4
8.
4
8.
12 16
4
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.
The linear correlation coefficient is r=
(Round to three decimal places as needed.)
Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 8 13 11 14 6. 4 12 y 7.45 6.78 12.75 7.11 7.82 8.85 6.08 5.39 8.16 6.43 5.72 E Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. В. c. OD. Ay 16- Ay 16- Ay 16- Ay 16- 12- 12- 12- 12- 8- 8- 8- 8- 00 .. ...... 4- 4- 4- 4- 0- 4 0- 0- 12 16 0- 0. 8. 12 16 4 8. 4 8. 12 16 4 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. The linear correlation coefficient is r= (Round to three decimal places as needed.)
s needed.)
Table of Critical Values
a = .05
a = 01
.950
.990
.878
.959
6.
.811
.917
.754
.875
8.
.707
.834
6.
.666
.798
10
.632
.765
11
.602
.735
12
.576
.708
13
.553
.684
14
.532
.661
15
.514
.641
16
.497
.623
17
.482
.606
18
468
.590
19
456
.575
20
.444
.561
25
.396
.505
30
.361
.463
35
.335
.430
40
.312
.402
45
294
.378
50
279
.361
box and then cl
60
254
.330
70
236
.305
80
220
286
90
207
269
100
.196
256
NOTE: To test Hop = 0 against H: p O,
reject Ho if the absolute value of r is
greater than the critical value in the table.
Print
Done
Transcribed Image Text:s needed.) Table of Critical Values a = .05 a = 01 .950 .990 .878 .959 6. .811 .917 .754 .875 8. .707 .834 6. .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 17 .482 .606 18 468 .590 19 456 .575 20 .444 .561 25 .396 .505 30 .361 .463 35 .335 .430 40 .312 .402 45 294 .378 50 279 .361 box and then cl 60 254 .330 70 236 .305 80 220 286 90 207 269 100 .196 256 NOTE: To test Hop = 0 against H: p O, reject Ho if the absolute value of r is greater than the critical value in the table. Print Done
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