Scatterplot Practice Math 1

What type of relationship does this graph show?

• Positive Association

• Negative Association

• No Association

What type of relationship does this graph have?

• Positive Association

• Negative Association

• No Association

Which scatterplot suggests a linear association?

• 
• 
• 
• 

The following scatter plot shows the weights and lengths of some dinosaurs.  Which statement accurately describes the information?

• The information shows a positive correlation.  The weight of a dinosaur tends to increase according to its length.
• The information shows a negative correlation.  the weight of a dinosaur tends to decrease according to its length.
• The information shows no correlation.  The weight and length vary according to the type of dinosaur.
• The information shows no correlation.  The relationship between the weight and length of a dinosaur is uncertain.

Which of these points appears to be an “Outlier?”

• A

• B

• C

• D

What type of correlation would you likely see with:

The amount of time spent working compared to the amount of money earned

• positive correlation

• negative correlation

• no correlation

What type of correlation would you likely see with:

The amount of time students spent playing video games the night before a test compared to their respective grades on that test

• positive correlation

• negative correlation

• no correlation

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• Being happy and being a better student.

• An insect ate poison and it died.

Data is collected comparing minutes of exercise each day and blood pressure. It is determined that the correlation coefficient is -0.87. What does this mean?

• There is a strong negative correlation between exercise and blood pressure.

• There is a weak negative correlation between exercise and blood pressure.

• There is a strong positive correlation between exercise and blood pressure.

• There is no correlation between exercise and blood pressure.

Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean?

• There is no correlation between sales and age.

• There is a strong positive correlation between sales and age.

• There is a strong negative correlation between sales and age.

• There is a weak negative correlation between sales and age.