Residuals and Correlation Coefficient

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

Tags

CCSS.HSS.ID.C.8

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

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

What is the slope of this prediction equation?

• 1344

• 19

• -19

• -19x

Tags

CCSS.8.EE.B.5

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSF-LE.A.1B

As study time _______________, errors _______________.

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

Tags

CCSS.HSF-LE.A.1B

After performing analyses on a set of data, Mrs. Broderick 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

CCSS.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot.

• A) r = 1.2

• B) r = 0.89

• C)r = 0

• D) r = -0.89

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot.

• A) r = -0.9

• B) r = 1

• C) r = 0.9

• D) r = -1

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Which colored line shows the line of best fit for the scatter plot?

• A) Black

• B) Orange

• C) Red

• D) Blue

Tags

CCSS.8.EE.B.5

If the correlation coefficient is r = -0.89, what type of data is shown?

• Strong positive

• Weak positive

• Strong negative

• Weak negative

Tags

CCSS.HSS.ID.C.8