Chapter 6 Review - Algebra 1 Two Variable Data

To make a prediction using the regression line, you would...

• plug in a predicted guess for y-hat and simplify

• look at the scatterplot

• rearrange the equation to solve for x

• plug in a value for x and simplify

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CCSS.HSF.IF.A.2

What should a residual plot look like?

• Distinct Pattern

• Curve

• Random with no pattern

• A few clumps

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CCSS.HSS.ID.B.6B

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

• YES

• NO

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CCSS.HSS.ID.B.6B

Estimate the correlation coefficient.

• r = -0.8

• r = -0.5

• r = 0.5

• r = 0.8

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CCSS.HSS.ID.C.8

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

• YES
• NO

A correlation shows that two things are

• related
• causing each other
• unrelated
• causation

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CCSS.HSS.ID.C.9

What type of correlation?

• Positive Correlation

• Negative Correlation

• No Correlation

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CCSS.HSS.ID.B.5

What type of association does this graph show?

• Positive
• negative
• none
• all of the above

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CCSS.HSF-LE.A.1B

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

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CCSS.HSF-LE.A.1B

What type of correlation describes the following sentence:
The temperature outside and the number of hot chocolate sold at a football game.

• postive
• negative 
• no

Tags

CCSS.HSS.ID.B.5