Which set(s) of points has (have) the strongest correlation Figure a, b, c, d, e, f ?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
icon
Concept explainers
Question
Which set(s) of points has (have) the strongest correlation
Page 544
Figure a, b, c, d, e, f ?
Transcribed Image Text:Which set(s) of points has (have) the strongest correlation Page 544 Figure a, b, c, d, e, f ?
moment correlation coefficient (PPMC), named after statistician Karl Pearson, who
The linear correlation coefficient explained in this section is called the Pearson product
544
Chapter 10 Correlation and Regression
psate mig
de pioneered the research in this area.
No linear
relationship
Strong positive
linear relationship
FIGURE 10-4
Strong negative
linear relationship
Range of Values for the
Correlation Coefficient
+1
-1
FIGURE 10-5
Relationship Between the
Correlation Coefficient and
the Scatter Plot
•......
(b) r = 0.90
Sget (c) r= 1.00
E-01 (a) r= 0.50
nwoda
(d) r= -0.50
(e) r=-0.90
(1) r=-1.00
The range of the linear coriciation coeficient is from -1 to +1. If there is a strong
positive linear relationship btzesa he vdies, the value of r will be close to +1. If
there is a strong negative linear relotionsaig between the variables, the value of r will be
close to -1. When there is no linear relationship between the variables or only a weak
relationship, the value of r will be close to 0. See Figure 10-4. When the value of r is 0 or
close to zero, it implies only that there is no linear relationship between the variables. The
data may be related in some other nonlinear way.
denobelor to ogvi adi snimos
Properties of the Linear Correlation Coefficient
1. The correlation coefficient is a unitless measure.
2. The value of r will always be between -1 and +1 inclusively. That is, -1 s r <.
3. If the values of x and y are interchanged, the value of r will be unchanged.
4. If the values of x and/or y are converted to a different scale, the value of r will be
unchanged.
5. The value of r is sensitive to outliers and can change dramatically if they are present in
dyat orls nio o
noitelonoo lo q l
the data.
enta
The graphs in Figure 10–5 show the relationship between the correlation coefficients
and their corresponding scatter plots. Notice that as the value of the correlation coefficient
increases from 0 to +1 (parts a, b, and c), data values become closer to a straight line and
to an increasingly strong relationship. As the value of the correlation coefficient decreases
from 0 to -1 (parts d, e, and ƒ), the data values also become closer to a straight line. Agal
this suggests a stronger relationship.
10-6
Transcribed Image Text:moment correlation coefficient (PPMC), named after statistician Karl Pearson, who The linear correlation coefficient explained in this section is called the Pearson product 544 Chapter 10 Correlation and Regression psate mig de pioneered the research in this area. No linear relationship Strong positive linear relationship FIGURE 10-4 Strong negative linear relationship Range of Values for the Correlation Coefficient +1 -1 FIGURE 10-5 Relationship Between the Correlation Coefficient and the Scatter Plot •...... (b) r = 0.90 Sget (c) r= 1.00 E-01 (a) r= 0.50 nwoda (d) r= -0.50 (e) r=-0.90 (1) r=-1.00 The range of the linear coriciation coeficient is from -1 to +1. If there is a strong positive linear relationship btzesa he vdies, the value of r will be close to +1. If there is a strong negative linear relotionsaig between the variables, the value of r will be close to -1. When there is no linear relationship between the variables or only a weak relationship, the value of r will be close to 0. See Figure 10-4. When the value of r is 0 or close to zero, it implies only that there is no linear relationship between the variables. The data may be related in some other nonlinear way. denobelor to ogvi adi snimos Properties of the Linear Correlation Coefficient 1. The correlation coefficient is a unitless measure. 2. The value of r will always be between -1 and +1 inclusively. That is, -1 s r <. 3. If the values of x and y are interchanged, the value of r will be unchanged. 4. If the values of x and/or y are converted to a different scale, the value of r will be unchanged. 5. The value of r is sensitive to outliers and can change dramatically if they are present in dyat orls nio o noitelonoo lo q l the data. enta The graphs in Figure 10–5 show the relationship between the correlation coefficients and their corresponding scatter plots. Notice that as the value of the correlation coefficient increases from 0 to +1 (parts a, b, and c), data values become closer to a straight line and to an increasingly strong relationship. As the value of the correlation coefficient decreases from 0 to -1 (parts d, e, and ƒ), the data values also become closer to a straight line. Agal this suggests a stronger relationship. 10-6
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Correlation, Regression, and Association
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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
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