Scatter Plots and Correlation Relationships

Imagine Ava, Daniel, and Anika are analyzing a scatter plot for their science project. They come across a data point that doesn't seem to fit with the rest. What would they call this?

• A data point that is significantly different from other data points.

• A data point that is similar to other data points.

• A data point that is not plotted correctly.

• A data point that is not relevant to the scatter plot.

Mia, Lily, and Scarlett are having a friendly competition to see who can identify outliers in a scatter plot the best. How can they spot these outliers?

• By looking for data points that are huddled up close to the main cluster of points, like penguins in the cold.

• By identifying data points that are playing 'copycat' with the main cluster of points.

• By focusing on data points that are hogging the spotlight in the center of the scatter plot.

• By observing data points that are playing 'hide and seek', significantly distant from the main cluster of points.

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters

• 15 chapters

• 18 chapters

• 21 chapters

What type of association does this graph have?

• positive

• negative

• none

• all of the above

Which of the following lines represents the line of best fit for the scatter plot?

• A

• B

• C

• D

Tags

CCSS.8.EE.B.5

Estimate the correlation coefficient.

• r is close to 1

• r is close to -1

• r is close to 0

• r is close to -0.5

• r is close to 0.5

What type of association does this graph have?

• positive 

• negative

• none

• all of the above

Tags

CCSS.HSF-LE.A.1B

What is the correlation?

• Negative correlation

• No correlation

• Positive correlation

• All of the above

Which of the following could be a possible line of best fit for the data?

• y = -5/2x + 20

• y = -x + 19

• y = x + 20

• y = 2/3x + 15 

This correlation coefficient best describes which of the following relationships?

• Strong positive

• Weak positive

• Strong negative

• Weak negative