AL GEO - Linear Regression and Residuals

What type of correlation describes the following sentence:
The temperature outside and the number of hot chocolate sold at a football game.

• postive
• negative 
• no

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random

Tags

CCSS.HSF-LE.A.1B

How do you calculate a residual?

• Actual - Predicted

• Predicted - Actual

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. Would a linear regression model of the data be most appropriate?

• YES
• NO

Tags

CCSS.HSS.ID.B.6

The equation of the least squares regression line is y (hat) = 1.3 + 0.73x.  What is the residual for the point (4,7)?

• 2.78
• 3.00
• 4.00
• 4.22

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.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

predicted cost = 3 + 4.1(length of movie in hours)

According to this prediction model, how much do you expect to pay for a movie if the movie is 1.5 hours long?

• $3

• $7.10

• $9.15

• $4.10

Tags

CCSS.HSA.CED.A.1

CCSS.HSA.SSE.A.1

CCSS.HSF.IF.A.1

CCSS.HSF.IF.A.2

CCSS.HSF.LE.B.5