
Correlation and Linear Regression Quiz
Quiz
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Mathematics
•
University
•
Practice Problem
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Medium
MOHD SHAUFI BIOTECH
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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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