Scatter Plots and Residuals

A scatter plot and residual plot are the same thing.

• True
• False

Tags

CCSS.HSS.ID.B.6B

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.6B

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSS.ID.B.6B

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.6B

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

• YES
• NO

Tags

CCSS.HSS.ID.B.6B

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

• 5

• 1

• 3

• 9

Tags

CCSS.HSS.ID.B.6B

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

If the point with the red x is removed from the scatterplot, what will happen to the slope of the LSRL and the correlation coefficient?

• slope increases, r increases

• slope decreases, r increases

• slope increases, r decreases

• slope decreases, r decreases

• slope is unchanged, r increases

What is the value of the correlation coefficient?

• 0.891

• -0.891

• 0.875

• 0.943

• -0.943

Tags

CCSS.HSS.ID.C.8

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.6B