Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 8 13 9 11 14 4 12 y 7.46 6.76 12.75 7.12 7.81 8.84 6.08 5.39 8.16 6.42 5.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. O B. Ay 16- Ay 16- Ay 16- Ay 16- 12 12- 12- 12- 8- 8- 8- 8- 44 4- 4- 4- 0+ 4. 0- 8. 12 16 0- 12 16 4 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.)
Use the given data set to complete parts (a) through (c) below. (Use a=0.05.) 10 8 13 9 11 14 4 12 y 7.46 6.76 12.75 7.12 7.81 8.84 6.08 5.39 8.16 6.42 5.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. O A. O B. Ay 16- Ay 16- Ay 16- Ay 16- 12 12- 12- 12- 8- 8- 8- 8- 44 4- 4- 4- 0+ 4. 0- 8. 12 16 0- 12 16 4 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.)
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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Transcribed Image Text:Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)
10
13
9.
11
14
6
4
12
7.
7.46
6.76
12.75
7.12
7.81
8.84
6.08
5.39
8.16
6.42
5.74
y
Click here to view a table of critical values for the correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
O A.
OB.
В.
c.
D.
Ay
16-
Ay
16-
Ay
16-
Ay
16-
12-
12-
12-
12-
8-
8-
8-
8-
...●......
4-
4-
4-
4-
0-
0-
4
12 16
0-
12 16
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:a = .05
a = 01
4.
.950
.990
5.
.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
and then cl
50
279
.361
60
254
.330
70
.236
.305
80
220
286
90
207
.269
100
.196
.256
NOTE: To test Hop= 0 against H: p# 0,
reject Ho if the absolute value of r is
greater than the critical value in the table.
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