For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. | Click the icon to view the data set. Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. O A. В. Oc. D. 10어 10어 1어 10- 10 10 10 10 (b) Compute the correlation coefficient. The correlation coefficient is r= 0.149. (Round to three decimal places as needed.) (c) Determine whether there is a linear relation between x and y. Because the correlation coefficient is and the absolute value of the correlation coefficient, is than the critical value for this data set, linear relation exists between x and y. (Round to three decimal places as needed.)

For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c) determine whether there is a linear relation between x and y. | Click the icon to view the data set. Click the icon to view the critical values table. (a) Draw a scatter diagram of the data. Choose the correct graph below. O A. В. Oc. D. 10어 10어 1어 10- 10 10 10 10 (b) Compute the correlation coefficient. The correlation coefficient is r= 0.149. (Round to three decimal places as needed.) (c) Determine whether there is a linear relation between x and y. Because the correlation coefficient is and the absolute value of the correlation coefficient, is than the critical value for this data set, linear relation exists between x and y. (Round to three decimal places as needed.)

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Description: For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c)determine whether there is a linear relation between x and y.Click the icon to view the data set.Click the icon to view the critic

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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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

Topic Video

Question

For the accompanying data set, (a) draw a scatter diagram of the data, (b) compute the correlation coefficient, and (c)
determine whether there is a linear relation between x and y.
Click the icon to view the data set.
Click the icon to view the critical values table.
(a) Draw a scatter diagram of the data. Choose the correct graph below.
O A.
В.
C.
D.
Ay
10-
Ay
10-
Ay
10-
Ay
10-
0+
10
10
10
10
(b) Compute the correlation coefficient.
The correlation coefficient is r= 0.149. (Round to three decimal places as needed.)
(c) Determine whether there is a linear relation between x and y.
Because the correlation coefficient is
and the absolute value of the correlation coefficient,
is
than
the critical value for this data set,
linear relation exists between x and y.
(Round to three decimal places as needed.)

i critical values for the correlation coefficient
For the accompanying data set, (a) draw a scatter d
determine whether there is a linear relation between
m Click the icon to view the data set
Critical Values for Correlation Coefficient
1 Data set
n
3 0.997
4 0.950
5 0.878
6 0.811
70.754
8 0.707
9 0.666
10 0.632
11 0.602
12 0.576
13 0.553
14 0.532
15 0.514
16 0.497
17 0.482
18 0.468
19 0.456
20 0.444
21 0.433
22 0.423
23 0.413
24 0.404
25 0.396
X
7
6
6
7
9
y
8
2
9
Print
Done
(b) Compute the correlation coefficient.
The correlation coefficient is r= 0.149. (Round to th
(c) Determine whether there is a linear relation betw
Because the correlation coefficient is
and
the critical value for this data set,
(Round to three decimal places as needed.)
Print
Done

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