residual Math 4 2.8

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

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CCSS.HSS.ID.B.6B

How do you calculate a residual?

• Observed - Predicted
• Predicted - Observed

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CCSS.HSS.ID.B.6B

Residuals are . . . 

• possible models not explored by the researcher
• variation in the response variable that is explained by the model
• the difference between the observed response and the values predicted by the model
• data collected from individuals that is not consistent with the rest of the group

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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

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

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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

Estimate the correlation coefficient.

• r = -0.8
• r = -0.5
• r = 0.5
• r = 0.8

Tags

CCSS.HSS.ID.C.8

The correlation coefficient r is a value between

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

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CCSS.HSS.ID.C.8

What type of correlation exists between the number of people that go to the pool and the temperature outside.

• positive
• negative
• no correlation
• unknown

Tags

CCSS.HSS.ID.B.5

The scatter plot shows the number coffee shops in different cities and the number of violent crimes. Which of the following is NOT true?

• A) As the number of coffee shops increase, violent crimes appears to increase.

• B) The line of best fit (regression line) shows a positive correlation

• C) The data has a positive correlation coefficient

• D) An increase in coffee shops causes an increase in violent crimes

Tags

CCSS.HSS.ID.C.9