Residual Plots

What is the residual for the x value 4?

• 2.1

• -0.6

• 2

• -2.7

Tags

CCSS.8.EE.C.8C

What is the residual for the x value 2?

(a)  

Tags

CCSS.HSA.APR.B.2

The following residual plot was generated for a linear model. What can we conclude?

• This data follows a linear fit.

• This data follows a nonlinear fit.

• Not enough info

Tags

CCSS.HSS.ID.B.6

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

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

Tags

CCSS.HSS.ID.B.6

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

• 5

• 1

• 3

• 9

Tags

CCSS.HSS.ID.A.1

This residual plot was generated using an exponential regression model. What can we conclude?

• The exponential model is the best fit

• A linear model would be the best fit

• A quadratic model would be the best fit

Tags

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.3

Shown is a residual plot using a quadratic regression model. Would a quadratic regression model be most appropriate?

• YES
• NO

Tags

CCSS.HSS.ID.B.6