Clustering?
Outliers
Positive or Negative?
Linear or Nonlinear?
100

Is there a cluster in this scatter plot? If there is, point to it.

Yes, there is a cluster.

100

How many outliers are there in this scatter plot?

There is one outlier.

100

Is there a positive or negative correlation?

There is a positive correlation.

100


Is there a linear or nonlinear correlation?

There is a linear correlation.

200


How many clusters are in this scatter plot?

There are 2 clusters.

200


What is the point of the outlier in this scatter plot?

The point of the outlier in this scatter plot is (2, 16).

200


Describe this correlation.

A strong positive correlation.

200


True or false: This is a nonlinear correlation.

True.

300


Which cluster is bigger?

The green one.

300



Explain why there's an outlier in this scatter plot.

There's an outlier in this scatter plot because one of the data points is placed far from the rest of the data points.

300


Why is this a positive correlation? 

This is a positive correlation because as x is increasing, y is increasing.

300


Describe this relationship.

A strong linear relationship.

400


Explain why there are clusters in this scatter plot.

There are clusters in this scatter plot because a group of data points are close together.

400

Which of these points is not an outlier: (140, 40) (175, 40) (145, 80) or (175, 69)?

(140, 40) and (175, 69)

400


Explain why this is a negative correlation.

This is a negative correlation because as x is increasing, y is decreasing.

400

Which of these scatter plots is linear?

The second scatter plot.

500


Why isn't there a cluster here?

Because the data points are spread out.

500


What are the outliers in this scatter plot?

Point (-0.3, 0.18), point (-0.04, -0.34), point (0.22, -0.34), and point (0.29, -0.13)

500


Why is this a strong negative correlation? 

This is a strong negative correlation because the data points are close together and as one variable is increasing, the other is decreasing.

500


Explain why this is a nonlinear correlation.

This is a nonlinear correlation because the line is curved.