3.6B - Residuals Practice

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

Tags

CCSS.HSS.ID.B.6

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

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. Would a linear regression model of the data be most appropriate?

• YES
• NO

Tags

CCSS.HSS.ID.B.6

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.

Tags

CCSS.HSS.ID.C.7

The residual plots from five different least squares regression lines are shown below. Which of the plots shows the strongest evidence that its regression line is an appropriate model for the data and is consistent with the assumptions required for inference for regression?

• 
• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.6

Which of these points appears to be an “Outlier?”

• A

• B

• C

• D

Tags

CCSS.HSS.ID.A.3

The height of a plant is measured each week after the first sprout shows above the soil. A botanist tries to predict the height of the plant in the upcoming weeks using the observed data in the table below. Which week has the smallest residual value?

• 1

• 3

• 4

• 6

Tags

CCSS.HSA.CED.A.2

What is the residual value for 2004?

• -222

• 400.5

• -135

• -43.5

Tags

CCSS.HSA.CED.A.1

CCSS.HSA.SSE.A.1