Math 1 Unit 4 Review

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

Tags

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

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

• Positive, strong
• Positive, weak
• Zero
• Negative, strong

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CCSS.HSS.ID.B.5

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

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CCSS.HSF-LE.A.1B

• Positive, strong
• Positive, weak
• Negative, strong
• Negative weak

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CCSS.HSS.ID.B.5

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

Tags

CCSS.HSS.ID.B.5

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

Tags

CCSS.HSS.ID.B.5

Describe the following correlation coefficient:

r = -0.89

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

Tags

CCSS.HSS.ID.B.5

Describe the following correlation coefficient:

r = 0.3

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

Tags

CCSS.HSS.ID.B.5