Table of Critical Values n a = .05 a = .01 4 .950 .990 5 .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 .269 100 .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. Use the given data set to complete parts (a) through (c) below. (Use a 0.05.) x y 10 9.14 8 8.13 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. OA. Ay 10- 8- 6- 4- 2- 0- 12 10- 8- 6- 2- 0- 0 4 11 14 6 4 8.76 9.26 8.09 6.13 3.09 12 9.13 7 7.27 4.73 ○ C. AY 10+ 8- 4- 2- 0- 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= 0.816. (Round to three decimal places as needed.) O D. Ay 10- 8- 2- 0- 0000 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. A. There is sufficient evidence to support the claim of a linear correlation between the two variables. B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. OD. There is insufficient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. OA. The scatterplot does not reveal a distinct pattern. OB. The scatterplot reveals a distinct pattern that is not a straight-line pattern. OC. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. OD. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.

Table of Critical Values n a = .05 a = .01 4 .950 .990 5 .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 .269 100 .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. Use the given data set to complete parts (a) through (c) below. (Use a 0.05.) x y 10 9.14 8 8.13 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. OA. Ay 10- 8- 6- 4- 2- 0- 12 10- 8- 6- 2- 0- 0 4 11 14 6 4 8.76 9.26 8.09 6.13 3.09 12 9.13 7 7.27 4.73 ○ C. AY 10+ 8- 4- 2- 0- 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= 0.816. (Round to three decimal places as needed.) O D. Ay 10- 8- 2- 0- 0000 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. A. There is sufficient evidence to support the claim of a linear correlation between the two variables. B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. OD. There is insufficient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. OA. The scatterplot does not reveal a distinct pattern. OB. The scatterplot reveals a distinct pattern that is not a straight-line pattern. OC. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. OD. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.

Table of Critical Values n a = .05 a = .01 4 .950 .990 5 .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 .269 100 .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. Use the given data set to complete parts (a) through (c) below. (Use a 0.05.) x y 10 9.14 8 8.13 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. OA. Ay 10- 8- 6- 4- 2- 0- 12 10- 8- 6- 2- 0- 0 4 11 14 6 4 8.76 9.26 8.09 6.13 3.09 12 9.13 7 7.27 4.73 ○ C. AY 10+ 8- 4- 2- 0- 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= 0.816. (Round to three decimal places as needed.) O D. Ay 10- 8- 2- 0- 0000 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. A. There is sufficient evidence to support the claim of a linear correlation between the two variables. B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables. OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables. OD. There is insufficient evidence to support the claim of a linear correlation between the two variables. c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. OA. The scatterplot does not reveal a distinct pattern. OB. The scatterplot reveals a distinct pattern that is not a straight-line pattern. OC. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. OD. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Table of Critical Values
n
a = .05
a = .01
4
.950
.990
5
.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
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.

Use the given data set to complete parts (a) through (c) below. (Use a 0.05.)
x
y
10
9.14
8
8.13
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.
OA.
Ay
10-
8-
6-
4-
2-
0-
12
10-
8-
6-
2-
0-
0 4
11
14
6
4
8.76
9.26
8.09
6.13
3.09
12
9.13
7
7.27
4.73
○ C.
AY
10+
8-
4-
2-
0-
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= 0.816.
(Round to three decimal places as needed.)
O D.
Ay
10-
8-
2-
0-
0000
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.
A. There is sufficient evidence to support the claim of a linear correlation between the two variables.
B. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
OC. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
OD. There is insufficient evidence to support the claim of a linear correlation between the two variables.
c. Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below.
OA. The scatterplot does not reveal a distinct pattern.
OB. The scatterplot reveals a distinct pattern that is not a straight-line pattern.
OC. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope.
OD. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope.

Expert Solution

Step by step

Solved in 2 steps with 5 images

SEE SOLUTION Check out a sample Q&A here

Blurred answer

Similar questions

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS