Linear Regression and Residuals

What type of correlation describes the following sentence:
The temperature outside and the number of hot chocolate sold at a football game.

• postive
• negative 
• no

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

What type of association does this graph show?

• Positive
• negative
• none
• all of the above

A correlation shows that two things are

• related
• causing each other
• unrelated
• causation

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

How do you calculate a residual?

• Observed - Predicted
• Predicted - Observed

Residuals are . . . 

• possible models not explored by the researcher
• variation in the response variable that is explained by the model
• the difference between the observed response and the values predicted by the model
• data collected from individuals that is not consistent with the rest of the group

Which is TRUE?
I.  Random scatter in the residuals indicates a linear model.
II.  If two variables are very strongly associated, then the correlation between them will be near 1 or -1.
III.  Changing the units of measurement for x or y changes the correlation coefficient.

• I only
• II only
• I and II only
• I, II and III

What is the correlation?

• Negative correlation
• No correlation
• Positive correlation
• Cannot be determined

Shown is a residual plot. Would a linear regression model of the data be most appropriate?

• YES
• NO