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- 1. Multiple Choice
Which example shows CAUSATION? (Which one CAUSED the other to happen.)
High social media usage and reduced grades.
Car ran out of gas and being stranded on the side of the road.
Recess time and number of friends.
- 2. Multiple Choice
Which example shows CAUSATION? (Which one CAUSED the other to happen.)
Rainfall and time spent reading.
Eating more butter and increased divorce rates.
It started raining and the baseball game was delayed.
- 3. Multiple Choice
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.
- 4. Multiple Choice
Which example shows CORRELATION? (The events show correlation, but one thing does NOT cause the other thing to happen.)
I put water in the freezer and now I have ice.
The alarm clock went off and I woke up.
Temperature and the amount of people at the beach.
- 5. Multiple Choice
Which example shows a CORRELATION? (The events show correlation, but one thing does NOT cause the other thing to happen.)
It rained and the ground is wet.
Ice cream sales increase as temperature increases.
- 6. Multiple Choice
Data is analyzed comparing hours studied and grades. It is determined that the correlation coefficient is 0.92. What does this mean?
There is a strong positive correlation between studying and grades.
There is a strong negative correlation between studying and grades.
There is a weak positive correlation between studying and grades.
There is a weak negative correlation between studying and grades.
- 7. Multiple Choice
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.
- 8. Multiple Choice
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.
- 9. Multiple Choice
Describe the relationship between the variables.no correlationstrong positive correlationstrong negative correlationweak positive correlation - 10. Multiple Choice
Estimate the correlation coefficient
r= -0.9
r= 0.9
r=-0.5
r=0.5
- 11. Multiple ChoiceDescribe the relationship between the variables.Weak positive correlationWeak negative correlationStrong positive correlationStrong negative correlation
- 12. Multiple ChoiceDescribe the correlation in the graph shown.Strong NegativeStrong PositiveWeak NegativeWeak Positive
- 13. Multiple Choicer=0.3Strong positiveWeak positiveStrong negativeWeak negative
- 14. Multiple ChoiceEstimate the correlation coefficient for this scatterplot.r = -0.9r = 1r = 0.9r = -1
- 15. Multiple ChoiceEstimate the correlation coefficient for this scatterplot.r = 1.2r = 0.89r = 0r = -0.89
- 16. Multiple ChoiceWhich sentence describes the relationship shown on this scatterplot?As the temperature decreases, the visitors increase.As the temperature increases, the number of visitors increases.As the visitors increase, the temperature decreases.No correlation
- 17. Multiple ChoiceA perfect negative correlation has a correlation coefficient of ____.1-10
- 18. Multiple ChoiceIf there is NO correlation, the correlation coefficient is ____.1-10
- 19. Multiple Choice
Which of the following is the WEAKEST negative correlation?
-0.73
- 0.34
- 0.92
- 0.57
- 20. Multiple ChoiceAttendance & grades have a r-value of
( - 0.89)...this indicates a ______ correlation.Strong positiveWeak positiveStrong negativeWeak negative - Answer choicesTagsAnswer choicesTags