Correlations and Residuals

Select all that apply: The correlation coefficient (r) tells you....

• Direction

• Slope

• Strength

• Starting Value

• Residuals

Tags

CCSS.HSF-LE.A.1B

Given the following Scatter Plot, select the option that is most likely the r value.

• $r=.27$

• $r=-.862$

• $r=.934$

• $r=.54$

Tags

CCSS.HSS.ID.C.8

Given the following Scatter Plot, select the option that is most likely the r value.

• $r=-.45$

• $r=-.981$

• $r=.728$

• $r=.12$

Tags

CCSS.HSS.ID.C.8

What is the correlation?

• Negative correlation
• No correlation
• Positive correlation
• Cannot be determined

Tags

CCSS.HSS.ID.B.5

Given the following Scatter Plot, select the option that is most likely the r value.

• $r=-.1$

• $r=-.981$

• $r=.92$

• $r=.765$

Tags

CCSS.HSS.ID.C.8

r = -0.3 is considered to have...

• moderate negative correlation

• weak negative correlation

• no correlation

• strong negative correlation

Tags

CCSS.HSS.ID.B.5

The correlation coefficient r is a value between

• 0 and 1
• 0 and 100
• -1 and 1
• -2 and 2

Tags

CCSS.HSS.ID.C.8

r=-0.89

• Strong positive 
• Weak positive 
• Strong negative 
• Weak negative 

Tags

CCSS.HSS.ID.B.5

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

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