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Worksheets3.1 Scatterplots & Correlation
Total questions: 25
Worksheet time: 14mins
What relationship does a scatterplot establish?
The differences between two quantitative variables
The relationship between two quantitative variables
The relationship between two qualitative variables
The differences between two qualitative variables
How is a scatterplot described overall?
Through direction and form only
Through finding the answers online
Through form and strength only
Through direction, form, and strength
What term is used when measuring the direction of the linear relationship between two quantitative variables?
Outlier
Correlation r
Correlation
Form
When measuring correlation r, what numbers on the scatterplot do they usually fall between?
-1 and 1
-1 and 2
-2 and 1
0 and 2
What is the term used that measures the outcome of a study?
Complete variable
Explanatory variable
Response variable
Outcome variable
What term is used to explain or influence changes in a response variable?
Response variable
Explanatory variable
Overall variable
Changing variable
What direction does a linear relationship typically follow?
A straight line
A circle
A line with multiple outliers
A crooked line
When is a linear relationship negative?
When there are a lot of plot points
When the plot points are in a straight line
When there are not that many plot points
When the plot points are widely scattered
What best describes a correlation between 0 and 1?
A Negative Correlation
A Decent Correlation
A Positive Correlation
An Average Correlation
What term best describes data values that do not form a straight line?
Non-linear correlation
Positive correlation
Linear correlation
Negative correlation
What do relationships between categorical data describe?
The contents of correlation r
Nothing, relationships are only quantitative
Whether there is a strong or weak form
Whether there's a positive or negative association
True or False?:
Correlation is not resistant and can be affected by outliers
True
False
True or False:
The correlation coefficient measures the strength of only the linear relationship between x and y
True
False
How is the strength of a relationship determined?
It is determined by how far away points in the scatterplot lie to a simple form such as a line
It is determined by how big the graph the scatterplot is on, is
It is determined by how close points in the scatterplot lie to a simple form such as a line
It is determined by how you feel about the scatterplot
True or False:
Correlation gives a complete summary of two-variable data?
True: Mean and standard deviation can be determined by the correlation
False: You should give the mean and standard deviation along with the correlation
True or False:
The correlation r itself has no unit of measurement
True: It's units of measurement can be found on the graph
False: It is just a number
True or False:
Correlation makes no distinction between explanatory and response variables
True: It doesn't make a difference which variable you call x or y when calculating correlation
False: It does make a difference which variable you call x or y when calculating correlation
Does this depict a positive or negative correlation?
Positive
Negative
True or False:
This depicts a weak, positive correlation
True: This is a weak, positive correlation
False: This is a strong, positive correlation
This picture shows what kind of correlation?
A positive correlation
A negative correlation
No correlation
An outlier can be best described as?
An individual value that falls in line with the pattern of the relationship
A value that shows whether or not a relationship is positive or negative
An individual value that falls out of pattern with the relationship
A value that shows what numbers correlation r falls between
True or False:
This depicts a negative correlation
True: This is a negative correlation
False: This a positive correlation
The strongest linear relationship occurs when the slope is?
-1
0
2
1
What does "r < 0" an indication of?
A positive association
A negative association
No association
True or False:
Values of r near 0 indicate a very strong linear relationship
True: It does indicate a very strong relationship
False: It indicates a very weak relationship
