Fitting Lines Residuals

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

• YES
• NO

After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?

• A
• B
• C

• This residual graph represents a linear fit.
• This graph represents a nonlinear fit.
• This residual graph represents no fit.

• This residual plot represents a linear fit.
• This residual plot represents a nonlinear fit.
• This residual plot represents no fit.

A scatter plot and residual plot are the same thing.

• True
• False

If the original data was linear, what should a residual plot look like?

• Distinct Pattern
• Curve
• Randomly scattered

Residuals are . . . 

• possible models not explored by the researcher
• variation in the response variable that is explained by the model
• the difference between the actual response and the values predicted by the model

• data collected from individuals that is not consistent with the rest of the group

Shown is a residual plot. How many negative residuals are there?

• 5

• 1

• 3

• 9

Shown is a residual plot. How many positive residuals are there?

• 5

• 1

• 3

• 9

How do you calculate a residual?

• Actual - Predicted

• Predicted - Actual