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Analyzing Scatterplots and Correlation Quiz

#1

What does a scatterplot visualize?

The relationship between two variables
Explanation

Visualizes the relationship between two variables.

#2

What does the correlation coefficient measure?

The strength and direction of a linear relationship between two variables
Explanation

Measures strength and direction of linear relationship.

#3

What is the main purpose of using a scatterplot?

To visualize the relationship between two continuous variables
Explanation

Main purpose: visualize relationship between two continuous variables.

#4

If the correlation coefficient is close to +1, what does it indicate?

A strong positive linear relationship
Explanation

Indicates a strong positive linear relationship.

#5

What does it mean if the correlation coefficient is close to zero?

There is no relationship between the variables
Explanation

Indicates no relationship between the variables.

#6

What is the range of values the correlation coefficient can take?

From -1 to +1
Explanation

Range of correlation coefficient is -1 to +1.

#7

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

Negative correlation
Explanation

Negative correlation: one variable increases, other decreases.

#8

What does it mean if the correlation coefficient is negative?

As one variable increases, the other decreases
Explanation

Negative correlation: one variable increases, other decreases.

#9

Which of the following scatterplots indicates a stronger correlation?

A scatterplot with points forming a diagonal line
Explanation

Stronger correlation when points form a diagonal line.

#10

What does a correlation coefficient of 0.8 indicate?

A strong positive correlation
Explanation

Indicates a strong positive correlation.

#11

In a scatterplot, what does it mean if points are widely scattered around the line of best fit?

There is a strong correlation
Explanation

Strong correlation: points widely scattered around line of best fit.

#12

What does it mean if the correlation coefficient is -1?

There is a perfect negative linear relationship
Explanation

Indicates perfect negative linear relationship.

#13

Which of the following statements about correlation is true?

Correlation can only be calculated for quantitative variables
Explanation

Correlation can only be calculated for quantitative variables.

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