. Linear correlation (Pearson's r): Describes the direction and strength of a relationship between any two variables. Describes the strength and direction of a relationship between two categorical variables. Describes the direction and strength of a relationship between two continuous variables. Describes only the magnitude of the relationship between two categorical variables. a. b. C. d. 2. If two variables are related so that as values of one variable increase the values of the other decrease, then relationship is said to be: Positive Negative Determinate Cannot be determined a. b. C. d. 3. A perfect linear relationship of variables X and Y would result in a value of r equal to: a. b. C. d. Zero A small value but not zero Either +1.00 or -1.00 A large value but not +1.00 or -1.00 4. Which correlation coefficient represents the weakest strength or consistency of relationship? 0.25

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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1, 2, 3,4

1. Linear correlation (Pearson's r):
b.
d.
2. If two variables are related so that as values of one variable increase the values of the other decrease, then
relationship is said to be:
Positive
Negative
Determinate
Cannot be determined
a.
b.
C.
d.
3. A perfect linear relationship of variables X and Y would result in a value of r equal to:
Zero
A small value but not zero
Either +1.00 or -1.00
A large value but not +1.00 or -1.00
b.
C.
d.
4. Which correlation coefficient represents the weakest strength or consistency of relationship?
d.
+0.35
-0.33
-0.35
فن
b.
Describes the direction and strength of a relationship between any two variables.
Describes the strength and direction of a relationship between two categorical variables.
Describes the direction and strength of a relationship between two continuous variables.
Describes only the magnitude of the relationship between two categorical variables.
d.
ܗ ܩ
5. Which of the following Pearson correlations shows the strongest association between the X and Y variables?
-0.67
b.
+0.97
+0.02
+0.66
-0.12
6. A study has found a negative correlation between a person's income and his or her blood pressure. This study indicate
Income and blood pressure are not related
Higher income is associated with higher blood pressure
As income increases, blood pressure tends to increase also
Search
ly
Transcribed Image Text:1. Linear correlation (Pearson's r): b. d. 2. If two variables are related so that as values of one variable increase the values of the other decrease, then relationship is said to be: Positive Negative Determinate Cannot be determined a. b. C. d. 3. A perfect linear relationship of variables X and Y would result in a value of r equal to: Zero A small value but not zero Either +1.00 or -1.00 A large value but not +1.00 or -1.00 b. C. d. 4. Which correlation coefficient represents the weakest strength or consistency of relationship? d. +0.35 -0.33 -0.35 فن b. Describes the direction and strength of a relationship between any two variables. Describes the strength and direction of a relationship between two categorical variables. Describes the direction and strength of a relationship between two continuous variables. Describes only the magnitude of the relationship between two categorical variables. d. ܗ ܩ 5. Which of the following Pearson correlations shows the strongest association between the X and Y variables? -0.67 b. +0.97 +0.02 +0.66 -0.12 6. A study has found a negative correlation between a person's income and his or her blood pressure. This study indicate Income and blood pressure are not related Higher income is associated with higher blood pressure As income increases, blood pressure tends to increase also Search ly
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