Linear Relationship and Bivariate Data

Which scatter plot shows a linear relationship between x and y?

• Graph A

• Graph B

• Graph C

• Graph D

Tags

CCSS.8.F.A.3

Which of the following lines represents the line of best fit for the scatter plot?

• A

• B

• C

• D

Tags

CCSS.8.EE.B.5

• Positive Association
• Negative Association
• No Association
• Non-Linear Association

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters

• 15 chapters

• 18 chapters

• 21 chapters

• 12

• 13

• 14

• 18

Tags

CCSS.7.EE.B.4A

• 4

• 10.75

• 11.75

• 12.75

Tags

CCSS.HSF.IF.A.2

What is the correlation between length of running start and distance of jump?

• positive:  the further you run the further you jump

• negative: the less you run the less distance of your jump

• positive: the further your running start the less your distance

Tags

CCSS.HSF-LE.A.1B

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

• The more books students read, the lower their English grade.

• The more books students read, the higher their English grade.

• The fewer books students read, the higher their English grade. 

• No relationship exists between the number of books students read and their English grades. 

Tags

CCSS.8.EE.B.5

Describe the correlation in the graph shown.

• Strong Negative

• Strong Positive

• Weak Negative

• Weak Positive

Tags

CCSS.HSF-LE.A.1B

A study compared the number of cars a person owns and that person’s average yearly salary. It was determined that the relationship between these two quantities was linear and the correlation was 0.37. Which conclusion can be made on the findings of this study?

• There was a weak relationship.

• There was a strong relationship.

• There was no relationship.

• Unpredictable.