#1
What does a scatterplot visualize?
The distribution of a single variable
The relationship between two variables
The mean of a dataset
The mode of a dataset
#2
What does the correlation coefficient measure?
The strength and direction of a linear relationship between two variables
The spread of data points in a scatterplot
The difference between the mean and median of a dataset
The skewness of a dataset
#3
What is the main purpose of using a scatterplot?
To display categorical data
To visualize the relationship between two continuous variables
To calculate the mean and median of a dataset
To identify outliers in a dataset
#4
If the correlation coefficient is close to +1, what does it indicate?
No correlation
A strong positive linear relationship
A strong negative linear relationship
A weak positive linear relationship
#5
What does it mean if the correlation coefficient is close to zero?
There is no relationship between the variables
There is a strong linear relationship
The data is normally distributed
There is a quadratic relationship between the variables
#6
What is the range of values the correlation coefficient can take?
From -1 to +1
From 0 to 1
From -∞ to +∞
From -π to +π
#7
Which type of correlation indicates that as one variable increases, the other decreases?
Positive correlation
Negative correlation
No correlation
Perfect correlation
#8
What does it mean if the correlation coefficient is negative?
There is no relationship between the variables
There is a strong linear relationship
As one variable increases, the other decreases
Both variables increase or decrease together
#9
What is the significance of outliers in a scatterplot?
Outliers indicate errors in data collection
Outliers can skew the correlation coefficient
Outliers have no impact on data analysis
Outliers improve the accuracy of the correlation coefficient
#10
Which of the following is a limitation of correlation analysis?
It cannot determine causation
It always indicates a strong relationship
It works well with non-linear data
It ignores outliers
#11
What does a correlation coefficient of 0 indicate?
A perfect positive correlation
A perfect negative correlation
No correlation
A weak positive correlation
#12
Which of the following is a measure of non-linear correlation?
Pearson correlation coefficient
Spearman's rank correlation coefficient
Kendall's tau correlation coefficient
Point-biserial correlation coefficient
#13
Which of the following statements about correlation is false?
Correlation does not imply causation
Correlation coefficient ranges from -1 to 1
Correlation measures the strength and direction of a linear relationship
Correlation analysis can be applied to qualitative data
#14
Which of the following best describes a strong positive correlation?
Points in a scatterplot form a vertical line
Points in a scatterplot form a horizontal line
Points in a scatterplot form a diagonal line sloping upwards
Points in a scatterplot form a circular pattern
#15
Which of the following scatterplots indicates a stronger correlation?
A scatterplot with points forming a horizontal line
A scatterplot with points forming a vertical line
A scatterplot with points forming a diagonal line
A scatterplot with points forming a circular pattern
#16
What does a correlation coefficient of 0.8 indicate?
A perfect positive correlation
A weak positive correlation
A strong positive correlation
No correlation
#17
In a scatterplot, what does it mean if points are widely scattered around the line of best fit?
There is no correlation
There is a strong correlation
The data is inaccurate
The line of best fit should be ignored
#18
What does it mean if the correlation coefficient is -1?
There is no relationship between the variables
There is a perfect positive linear relationship
There is a perfect negative linear relationship
Both variables increase or decrease together
#19
Which of the following statements about correlation is true?
Correlation implies causation
Correlation coefficient ranges from -1 to 0
Correlation is not affected by outliers
Correlation can only be calculated for quantitative variables
#20
What does a correlation coefficient of -0.6 indicate?
A strong positive correlation
A weak positive correlation
A strong negative correlation
No correlation
#21
What does it mean if the correlation coefficient is 1?
There is no relationship between the variables
There is a perfect positive linear relationship
There is a perfect negative linear relationship
Both variables increase or decrease together
#22
In a scatterplot, what does it mean if points are clustered closely around the line of best fit?
There is no correlation
There is a strong correlation
The data is inaccurate
The line of best fit should be ignored
#23
What does a correlation coefficient of -0.9 suggest?
A strong positive correlation
A weak positive correlation
A strong negative correlation
No correlation
#24
In a scatterplot, what does it mean if points are evenly distributed around the line of best fit?
There is no correlation
There is a strong correlation
The data is inaccurate
The line of best fit should be ignored