Ch 8 Linear Regression and Residuals

Front

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

Back

negative

Front

What type of association does this graph have? Options: positive, negative, none, all of the above

Back

negative

Front

What type of association does this graph show?

Back

none

Front

A correlation shows that two things are

Back

related

Front

What should a residual plot look like? Options: Distinct Pattern, Curve, Random

Back

Random

Front

How do you calculate a residual?

Back

Observed - Predicted

Front

Residuals are . . .

Back

the difference between the observed response and the values predicted by the model

Front

Which statements are 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.

Back

I and II only

Front

What is the correlation?

Back

No correlation

Front

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

Back

NO