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Correlation Quiz

Total questions: 18

Worksheet time: 6mins

Name
Class
Date
1.

What is correlation?

a)

A measure of the average of a set of numbers.

b)

A statistical relationship or association between two or more variables.

c)

A type of data analysis.

d)

A method for predicting future trends.

2.

Which type of correlation indicates that as one variable increases, the other variable also increases?

a)

Negative Correlation

b)

Zero Correlation

c)

Positive Correlation

d)

No discernible pattern

3.

Positive correlation is the type of correlation indicates that as one variable increases, the other variable decreases.

a)

True

b)

False

4.

What does a correlation coefficient value near 0 indicate?

a)

A very strong relationship between the variables.

b)

A moderate relationship between the variables.

c)

Little relationship between the variables.

d)

A perfect relationship between the variables.

5.

What does a correlation coefficient value near 1 indicate?

a)

A direct or positive relationship between the variables.

b)

An inverse or negative relationship between the variables.

c)

Little relationship between the variables.

d)

No discernible pattern.

6.

Which type of data do not use the Product Moment Test?

a)

Ordinal data

b)

Interval data

c)

Ratio data

d)

All of the above

7.

Which type of data do not use the Spearman Rank Test?

a)

Ordinal data

b)

Interval data

c)

Ratio data

d)

All of the above

8.

According to Example 1, Kevin and Bintang completed 9 tasks, but Bintang got higher score than Kevin.

a)

True

b)

False

9.

What does a correlation coefficient value between 0.40 and 0.599 indicate?

a)

The correlation is very weak

b)

The correlation is weak

c)

The correlation is moderate

d)

The correlation is strong

10.

In correlation, the relationship must be"perfect" or exact.

a)

True

b)

False

11.

What does a correlation coefficient value between 0.60 and 0.799 indicate?

a)

The correlation is very weak

b)

The correlation is weak

c)

The correlation is moderate

d)

The correlation is strong

12.

What is an example of a positive correlation?

a)

As the amount of study time increases, test scores might decrease.

b)

As the amount of study time increases, test scores might increase.

c)

As TV viewing time increases, academic achievement might increase.

d)

There might be no relationship between shoe size and intelligence.

13.

How is the strength of correlation measured?

a)

By the type of data.

b)

By the method of analysis.

c)

By the sample size.

d)

By the correlation coefficient value.

14.

What is an example of a negative correlation?

a)

As the amount of study time increases, test scores might increase.

b)

As TV viewing time increases, academic achievement might increase.

c)

There might be no relationship between shoe size and intelligence.

d)

As the amount of study time increases, test scores might decrease.

15.

There are 6 male and 6 female students each in the examples that has been presented.

a)

True

b)

False

16.

What is the significance of the correlation coefficient in statistical analysis?

a)

It indicates the type of data used.

b)

It measures the sample size.

c)

It shows the direction and strength of the linear relationship.

d)

It shows the method of analysis.

17.

What is an example of zero correlation?

a)

There might be no relationship between shoe size and intelligence.

b)

As the amount of study time increases, test scores might increase.

c)

As TV viewing time increases, academic achievement might decrease.

d)

As the amount of study time increases, test scores might decrease.

18.

In a likert scale, what value is indicated by the answer choice of agree?

a)

1

b)

2

c)

3

d)

4