CCSS.Math.Content.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot.

• r = 1.2
• r = 0.89
• r = 0
• r = -0.89

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CCSS.Math.Content.HSS.ID.C.8

Estimate the correlation coefficient for this scatterplot. 

• r = -0.9
• r = 1
• r = 0.9
• r = -1

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CCSS.Math.Content.HSS.ID.C.8

r=-0.89

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

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CCSS.Math.Content.HSS.ID.C.8

Looking at the graph, what is the correlation between the x and y variables?

• y increases as x increases
• y is constant
• y decreases as x descreases
• y decreases as x increases

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CCSS.Math.Content.HSS.ID.C.8

Looking at the graph showing a line of best fit, what is the correlation shown?

• Length of life is constant
• Length of life increases as amount of sunlight increases
• Length of life increases as amount of sunlight decreases
• Length of life decreases as amount of sunlight increases

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CCSS.Math.Content.HSS.ID.C.8

What kind of correlation?

• Positive
• Negative
• No

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CCSS.Math.Content.HSS.ID.C.8

What kind of correlation?

• Positive
• Negative
• No

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CCSS.Math.Content.HSS.ID.C.8

Estimate the correlation coefficient

• r= -0.9

• r= 0.9

• r=-0.5

• r=0.5

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CCSS.Math.Content.HSS.ID.C.8

Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean?

• There is no correlation between sales and age.

• There is a strong positive correlation between sales and age.

• There is a strong negative correlation between sales and age.

• There is a weak negative correlation between sales and age.

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CCSS.Math.Content.HSS.ID.C.8

Estimate the correlation coefficient

• r = 1

• r = -1

• r ≈ -0.8

• r ≈ 0.8

• r ≈ -0.5

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CCSS.Math.Content.HSS.ID.C.8