Residual Plots

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

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

• YES

• NO

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

• 5

• 1

• 3

• 9

• 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. How many zero residuals are there?

• 5

• 1

• 3

• 0

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

• 5

• 1

• 3

• 9

A difference between an actual y-value and a predicted

y-value

• Interpolation

• Extrapolation

• Correlations Coefficient

• Residual

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

• This residual plot indicates a good model.

• This residual plot indicates a poor model.

The residuals plot from a linear model is shown here.

The shape of the data indicates that the linear model is appropriate.

• TRUE

  because the plot is very linear

• FALSE

  because the plot is very linear

• TRUE

  because the slope is negative

• FALSE

  because the slope is negative