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Correlation and Linear Regression Quiz

Authored by MOHD SHAUFI BIOTECH

Mathematics

University

Used 7+ times

Correlation and Linear Regression Quiz
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30 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to the guide, what is the definition of correlation?

A measure of the linear relationship between two quantitative (numerical) variables

A method for predicting the value of one variable based on another

A test to compare the averages of two or more groups

A visual representation of data using a bell curve

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the best way to initially visualize a potential relationship between two quantitative variables?

A bar chart

A line graph connecting the points

A scatter plot

A box plot

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a scatter plot, what does each individual dot represent?

One variable

The average of the data

The correlation coefficient

One single observation or data point

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a scatter plot shows a pattern of dots going from the bottom-left to the top-right, what kind of relationship does this suggest?

A negative relationship

A positive relationship

No relationship

A causal relationship

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary question that correlation analysis seeks to answer?

Does one variable cause a change in another variable?

As one numerical variable changes, does the other change in a predictable way?

Are the means of the two variables significantly different?

How can we predict the value of Y from X?

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The correlation coefficient (r) provides a precise number that measures what two aspects of a linear relationship?

Cause and effect

Mean and standard deviation

Strength and direction

Slope and intercept

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the correlation coefficient (r) is a negative value (e.g., -0.85), what does this indicate about the relationship?

It is a weak relationship

It is a direct relationship where both variables increase together

It is an inverse relationship where one variable tends to decrease as the other increases

There is no relationship between the variables

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