CCSS.Math.Content.HSS.ID.B.6

Describe the relationship between the variables.

• no correlation
• strong positive correlation
• strong negative correlation
• weak positive correlation

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CCSS.Math.Content.HSS.ID.B.6

What kind of correlation?

• Positive
• Negative
• No

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CCSS.Math.Content.HSS.ID.B.6

The age of a kitten and its weight.

• positive association
• negative association
• no association

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CCSS.Math.Content.HSS.ID.B.6

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

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CCSS.Math.Content.HSS.ID.B.6

The scatterplot shows the average number of hours each of 13 people spends at work every week and the average number of hours each of them spends on recreational activities every week. Based on the scatterplot, what is the best prediction of the average number of hours a person spends at work every week if that person spends an average of 10 hours on recreational activities each week?

• 33 h

• 85 h

• 50 h

• 65 h

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CCSS.Math.Content.HSS.ID.B.6

Which function best fits this data? USE SQUARE ROOT REGRESSION.

• 
• 
• 
• 

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CCSS.Math.Content.HSS.ID.B.6

Estimate the correlation coefficient for this scatterplot.

• A) r = -0.9

• B) r = 1

• C) r = 0.9

• D) r = -1

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CCSS.Math.Content.HSS.ID.B.6

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

• $r=-.1$

• $r=-.981$

• $r=.92$

• $r=.765$

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CCSS.Math.Content.HSS.ID.B.6

Estimate the correlation coefficient.

• r is close to zero

• r is close to -1

• r is close to 1

• r is close to -1.5

• r is close to 1.5

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CCSS.Math.Content.HSS.ID.B.6

Mrs. Collins made a scatterplot to show the relationship between the number of absences and a student’s final exam score. Based on this scatterplot, a student with 6 absences should get approximately what score on the final exam?

• 85

• 92

• 70

• 76

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CCSS.Math.Content.HSS.ID.B.6