Residuals and Residual Plots

• 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.

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

• YES
• NO

Which residual plot shows that a linear regression model would be most appropriate?

• a
• b
• c

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

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Which of the following can be determined from the residual plot shown?

• The residuals are evenly distributed and indicate this is a good linear fit for the data.

• The residuals are all extremely large and indicate this is a good fit for the data.

• The residual plot reveals a non-linear pattern in the data and, therefore, this is not a good fit for the data.

• The residual plot reveals a linear pattern in the data and, therefore, this is a good fit for the data.

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

• YES
• NO

How do you calculate a residual?

• actual-predicted

• predicted-actual