Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) 10 13 9 11 14 6 4 12 9.13 8.15 8.73 8.77 9.26 8.09 6.14 3.11 9.12 7.25 4.74 | Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A OA. OB. OC. OD. Ay 1어 8- Av Q 10- 10- 10- ......... 4- 4- 4- 4- 2- 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.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. OA. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O B. There is insufficient evidence to support the claim of a linear correlation between the two variables. OC. There is sufficient evidence to support the claim of a linear correlation between the two variables. O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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the table of critical value is image ccv.png

a = .05
a = 01
4
.950
.990
.878
.959
6
.811
.917
7
.754
.875
8
.707
834
9
.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
60
.254
.330
70
236
305
80
220
286
90
.207
269
.196
NOTE: To test Hoip = 0 against H: p # 0,
reject Ho if the absolute value of r is
greater than the critical value in the table.
100
256
Transcribed Image Text:a = .05 a = 01 4 .950 .990 .878 .959 6 .811 .917 7 .754 .875 8 .707 834 9 .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 60 .254 .330 70 236 305 80 220 286 90 .207 269 .196 NOTE: To test Hoip = 0 against H: p # 0, reject Ho if the absolute value of r is greater than the critical value in the table. 100 256
Use the given data set to complete parts (a) through (c) below. (Use a= 0.05.)
10
8
13
11
14
6
4
12
7
5
y
9.13
8.15
8.73
8.77
9.26
8.09
6.14
3.11
9.12
7.25
4.74
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.
Ов.
Oc.
OD.
10-
10-
AY
10+
10-
8-
8-
8-
8-
6-
6-
4-
4.
4-
4-
2-
2-
2-
2-
0-
0-
8 12 16
4 $ 12 16
12 16
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.)
Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below.
O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
O B. There is insufficient evidence to support the claim of a linear correlation between the two variables.
O C. There is sufficient evidence to support the claim of a linear correlation between the two variables.
O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
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 7 5 y 9.13 8.15 8.73 8.77 9.26 8.09 6.14 3.11 9.12 7.25 4.74 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. Ов. Oc. OD. 10- 10- AY 10+ 10- 8- 8- 8- 8- 6- 6- 4- 4. 4- 4- 2- 2- 2- 2- 0- 0- 8 12 16 4 $ 12 16 12 16 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.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. O A. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. O B. There is insufficient evidence to support the claim of a linear correlation between the two variables. O C. There is sufficient evidence to support the claim of a linear correlation between the two variables. O D. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
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