Residuals

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

What is the slope of this prediction equation?

• 1344

• 19

• -19

• -19x

Tags

CCSS.HSS.ID.C.7

What is the y-intercept of the prediction equation?

• -149

• 149

• 4.4

• 4.4x

Tags

CCSS.HSS.ID.C.7

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSF-LE.A.1B

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

• YES
• NO

Tags

CCSS.HSS.ID.A.3

As study time _______________, errors _______________.

• increases ; decrease
• increases ; increase
• decreases; decrease
• increases ; stays the same

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

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.6

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

• 5

• 1

• 3

• 9

Tags

CCSS.HSS.ID.A.1

CCSS.HSS.ID.A.3

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

• 5

• 1

• 3

• 9

Tags

CCSS.HSS.ID.A.1

What is the correlation?

• Negative correlation

• No correlation

• Positive correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9