Support 4.4 & 4.5

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.HSF-LE.A.1B

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

Tags

CCSS.HSF-LE.A.1B

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

Tags

CCSS.HSF-LE.A.1B

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

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

• This residual graph represents a linear fit.
• This graph represents a nonlinear fit.
• This residual graph represents no fit.

Tags

CCSS.HSS.ID.C.8

• This residual plot represents a linear fit.
• This residual plot represents a nonlinear fit.
• This residual plot represents no fit.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

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

• YES
• NO

Tags

CCSS.HSS.ID.B.6

Which residual plot shows that a linear regression model would be most appropriate?

• a
• b
• c

Tags

CCSS.HSS.ID.B.6

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSF-LE.A.1B

Shown is a residual plot. How many negative residuals are there?

• 5

• 1

• 3

• 9

Tags

CCSS.HSS.ID.A.1