13.3 -10.5 20.3 -959.8 20.8 93.6 30.7 -270.9 37.5 -1274.5 11 -334 1.4 -218.6 20.7 923.1 27.6 694.7 145.8 -10329.4 What is the correlation coefficient with the outlier? What is the correlation coefficient without the outlier? wo = Would inclusion of the outlier chànge the evidence for or against a significant linear correlati O Yes. Including the óutlier changes the evidence regarding a linear correlation. O No. Including the outlier does not change the evidence regarding a linear correlation.
13.3 -10.5 20.3 -959.8 20.8 93.6 30.7 -270.9 37.5 -1274.5 11 -334 1.4 -218.6 20.7 923.1 27.6 694.7 145.8 -10329.4 What is the correlation coefficient with the outlier? What is the correlation coefficient without the outlier? wo = Would inclusion of the outlier chànge the evidence for or against a significant linear correlati O Yes. Including the óutlier changes the evidence regarding a linear correlation. O No. Including the outlier does not change the evidence regarding a linear correlation.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![The following bivariate data set contains an outlier.
| x | y |
|------|---------|
| 7.3 | 1743.8 |
| 30.7 | -1050.9 |
| 23.6 | 638.1 |
| 16.4 | -1226.4 |
| 27.6 | -708 |
| 13.3 | -10.5 |
| 20.3 | -959.8 |
| 20.8 | 93.6 |
| 30.7 | -270.9 |
| 37.5 | -1274.5 |
| 11 | -334 |
| 1.4 | -218.6 |
| 20.7 | 923.1 |
| 27.6 | 694.7 |
|145.8| -10329.4|
**Questions**
1. What is the correlation coefficient with the outlier?
\[
r_w =
\]
2. What is the correlation coefficient without the outlier?
\[
r_{wo} =
\]
3. Would inclusion of the outlier change the evidence for or against a significant linear correlation?
- ☐ Yes. Including the outlier changes the evidence regarding a linear correlation.
- ☐ No. Including the outlier does not change the evidence regarding a linear correlation.
This table presents two variables, x and y, which appear to be related, but contain an outlier in the data. The questions guide an analysis of how the outlier affects the correlation coefficient, indicating the strength and direction of a linear relationship between x and y.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F28d86cc0-7097-4700-8d9f-6e45682a3cc6%2F6638d84d-edc5-42a6-bc9f-f6c071eca87d%2Fpx2xze_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following bivariate data set contains an outlier.
| x | y |
|------|---------|
| 7.3 | 1743.8 |
| 30.7 | -1050.9 |
| 23.6 | 638.1 |
| 16.4 | -1226.4 |
| 27.6 | -708 |
| 13.3 | -10.5 |
| 20.3 | -959.8 |
| 20.8 | 93.6 |
| 30.7 | -270.9 |
| 37.5 | -1274.5 |
| 11 | -334 |
| 1.4 | -218.6 |
| 20.7 | 923.1 |
| 27.6 | 694.7 |
|145.8| -10329.4|
**Questions**
1. What is the correlation coefficient with the outlier?
\[
r_w =
\]
2. What is the correlation coefficient without the outlier?
\[
r_{wo} =
\]
3. Would inclusion of the outlier change the evidence for or against a significant linear correlation?
- ☐ Yes. Including the outlier changes the evidence regarding a linear correlation.
- ☐ No. Including the outlier does not change the evidence regarding a linear correlation.
This table presents two variables, x and y, which appear to be related, but contain an outlier in the data. The questions guide an analysis of how the outlier affects the correlation coefficient, indicating the strength and direction of a linear relationship between x and y.
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