Correlation Test

Result

Correlation Test - 4

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Question 1
1 / -0

Correlation refers to

A
The proportion of variance that two variables share.

B
The association between two variables

C
The causal relationship between two variables

D
None

Solution

Correlation between two variables shows how the two series are associated with each other. How one variable changes with the change in other
Question 2
1 / -0

If two variables are highly correlated, what do you know?

A
That there are no other variables responsible for the relationship

B
That high values on one variable lead to high values on the other variable

C
That they always go together

D
That changes in one variable are accompanied by predictable changes in the other

Solution

High degree of correlation implies that there is a strong relationship between the two variables and that the changes in one variable cause predictable changes in the other variable.
Question 3
1 / -0

If paired scores occupy the same positions within their own distributions (high with high and low with low)

A
Pearson r will be high and positive.

B
Pearson r will be low and negative.

C
Pearson r will be close to 0.

D
Standard deviation will be high.

Solution

If high scores on one variable are paired with high scores on other variable and low scores are paired with low scores, correlation will be high and therefore Pearson's r will be high and positive.
Question 4
1 / -0

Which of the following indicates the strongest relationship?

A
r = - .6

B
r = .08

C
r²= .2

D
r = .5

Solution

The highest score shows high degree of correlation. It can be positive or negative.
Question 5
1 / -0

A researcher finds the value of correlation coefficient to be .40 between personal income and the number of years of college completed. Based upon this finding he can conclude that

A
Personal income is a positively skewed variable

B
More years of education are associated with higher income

C
A person who attended four years of college will have an annual income of Rs.40,000

D
None

Solution

A positive value of correlation coefficient implies that high value of one variable will correspond to a high value of another variable and vice versa.
Question 6
1 / -0

Which of the following may have an adverse effect on the correlation coefficient?

A
The scores on one variable have larger numbers than the other variable

B
Restricting the range of possible scores

C
A negative relationship between your X and Y variables

D
Too many people in your experiment

Solution

Other factors being equal, a restricted range usually yields a smaller correlation coefficient.
Question 7
1 / -0

Which of the following is not a use for r?

A
Correlation

B
Power analysis

C
Validity

D
Reliability

Solution

Power Analysis allows us to determine the sample size required to detect an effect of a given size and it does not require the use of r.
Question 8
1 / -0

If two variables oppose each other then the correlation will be

A
Negative Correlation

B
Perfect Correlation

C
Positive Correlation

D
No Correlation

Solution

Negative correlation implies that high value of one variable will correspond to a low value of another variable and vice versa.
Question 9
1 / -0

A perfect negative correlation is signified by

A
0

B
-1.0

C
1

D
2

Solution

When there is perfect negative correlation, the value of correlation coefficient will be -1.
Question 10
1 / -0

The Spearman correlation is used with

A
Ordinal data

B
Interval data

C
Ratio data

D
Nominal data

Solution

Spearman's rank correlation is used for ordinal data, where the values have not been measured but have been ranked.

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Re-Attempt Weekly Quiz Competition

Correlation Test - 4

Result

Correlation Test - 4

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SHARING IS CARING

Question 1

The proportion of variance that two variables share.

The association between two variables

The causal relationship between two variables

None

Solution

Question 2

That there are no other variables responsible for the relationship

That high values on one variable lead to high values on the other variable

That they always go together

That changes in one variable are accompanied by predictable changes in the other

Solution

Question 3

Pearson r will be high and positive.

Pearson r will be low and negative.

Pearson r will be close to 0.

Standard deviation will be high.

Solution

Question 4

r = - .6

r = .08

r2= .2

r = .5

Solution

Question 5

Personal income is a positively skewed variable

More years of education are associated with higher income

A person who attended four years of college will have an annual income of Rs.40,000

None

Solution

Question 6

The scores on one variable have larger numbers than the other variable

Restricting the range of possible scores

A negative relationship between your X and Y variables

Too many people in your experiment

Solution

Question 7

Correlation

Power analysis

Validity

Reliability

Solution

Question 8

Negative Correlation

Perfect Correlation

Positive Correlation

No Correlation

Solution

Question 9

0

-1.0

1

2

Solution

Question 10

Ordinal data

Interval data

Ratio data

Nominal data

Solution

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r²= .2