Correlation Test

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Correlation Test - 5

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Weekly Quiz Competition

Question 1
1 / -0

If all the plotted points form a straight line from lower left hand corner to the upper right hand corner then there is

A
Simple correlation

B
Negative correlation

C
Multiple correlation

D
Perfect positive correlation

Solution

A line from lower left hand corner to the upper right hand corner indicates perfect positive correlation with the value of r equal to 1.
Question 2
1 / -0

If the plotted points in the plane form a band and they show a rising trend from the lower left hand corner to the upper right hand corner, then there is

A
High negative correlation

B
High positive correlation

C
Both

D
None

Solution

A band showing a rising trend from left to right indicates a close positive relationship and thus there is high positive correlation.
Question 3
1 / -0

Examples of negative correlation are

A
Age of husband and age of wife.

B
Demand for a commodity may go down as a result of rise in prices

C
. The family income and expenditure on luxury items.

D
Increase in height and weight.

Solution

Negative correlation is said to exist when a rise in the value of one variable leads to a fall in the value of the other variable and vice versa.
Question 4
1 / -0

If the plotted points in the plane are spread all over the diagram, then there is

A
Highly Negative correlation

B
No correlation

C
Highly Positive correlation

D
None

Solution

Data points scattered all over the diagram indicate no association between the two variables and hence there is no correlation.
Question 5
1 / -0

Study of price and demand eliminating supply side

A
Partial correlation

B
Total correlation

C
Both

D
None

Solution

Partial correlation measures the degree of association between two random variables while controlling or eliminating the effect of one or more other variables.
Question 6
1 / -0

Rearrange the following steps
a. Find the mean of two series x and y
b. Take deviation of the two series from their means.
c. Square the deviations and get the total
d. Multiply the deviations of x and y and get the total.
e. Substitute the values in the formula.
Options are as follows

A
b,a,c,d,e

B
b,a,d,c,e

C
a,b,c,d,e

D
a,c,b,d,e

Solution

This is the correct sequence to calculate Karl Pearson's correlation coefficient. It will take a value ranging from -1 to +1. Positive values of correlation coefficient indicate positive relationship between the two variables, while negative values are indicative of a negative relationship. Zero value implies no relationship.
Question 7
1 / -0

Following are the examples of positive correlation except

A
Increase in height and weight.

B
Sale of woollen garments and day temperature

C
Age of husband and age of wife.

D
Price of commodity and amount of supply

Solution

It is an example of negative correlation because with the rise in temperature the sale of woollen garments will fall.
Question 8
1 / -0

Degree of Correlation Between + 0.25 and + 0.75 is

A
Perfect

B
High

C
Low

D
Moderate

Solution

If value of r is close to 0, correlation is said to be low, while the values of r close to ±1 represent high correlation. Degree of correlation between +0.25 and +0.75 will therefore be moderate.
Question 9
1 / -0

The diagrammatic representation of two variables is called _________

A
Histogram

B
Scatter diagram

C
Bar Diagram

D
None

Solution

A scatter diagram is a graph in which the values of two variables are plotted along the 2 axis.
Question 10
1 / -0

The relationship between three or more variables is studied with the help of _________ correlation

A
Double

B
Multiple

C
Single

D
None

Solution

Multiple correlation is used when the relationship between more than two variables is under study.

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Re-Attempt Weekly Quiz Competition

Correlation Test - 5

Result

Correlation Test - 5

Score

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Rank

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SHARING IS CARING

Question 1

Simple correlation

Negative correlation

Multiple correlation

Perfect positive correlation

Solution

Question 2

High negative correlation

High positive correlation

Both

None

Solution

Question 3

Age of husband and age of wife.

Demand for a commodity may go down as a result of rise in prices

. The family income and expenditure on luxury items.

Increase in height and weight.

Solution

Question 4

Highly Negative correlation

No correlation

Highly Positive correlation

None

Solution

Question 5

Partial correlation

Total correlation

Both

None

Solution

Question 6

b,a,c,d,e

b,a,d,c,e

a,b,c,d,e

a,c,b,d,e

Solution

Question 7

Increase in height and weight.

Sale of woollen garments and day temperature

Age of husband and age of wife.

Price of commodity and amount of supply

Solution

Question 8

Perfect

High

Low

Moderate

Solution

Question 9

Histogram

Scatter diagram

Bar Diagram

None

Solution

Question 10

Double

Multiple

Single

None

Solution

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