Residuals

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

• 5

• 1

• 3

• 9

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

As study time _______________, errors _______________.

• increases ; decrease
• increases ; increase
• decreases; decrease
• increases ; stays the same

Tags

CCSS.HSS.ID.B.5

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

• YES
• NO

Tags

CCSS.HSS.ID.B.6B

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSS.ID.B.6B

What is the y-intercept of the prediction equation?

• -149

• 149

• 4.4

• 4.4x

Tags

CCSS.HSF.LE.B.5

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

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

A residual is the vertical distance between a data point and a line of fit.

• True

• False

Tags

CCSS.HSS.ID.B.6B

What is the correlation?

• Negative correlation

• No correlation

• Positive correlation

Tags

CCSS.HSS.ID.B.5