
Correlation and Causation
Authored by Wayground Content
Mathematics
10th - 12th Grade
CCSS covered
Used 6+ times

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11 questions
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1.
MULTIPLE CHOICE QUESTION
3 mins • 12 pts
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.
Tags
CCSS.HSS.ID.C.9
2.
MULTIPLE CHOICE QUESTION
3 mins • 12 pts
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.
Tags
CCSS.HSS.ID.C.9
3.
MULTIPLE CHOICE QUESTION
3 mins • 12 pts
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.
Tags
CCSS.HSS.ID.C.9
4.
MULTIPLE CHOICE QUESTION
3 mins • 12 pts
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.
Tags
CCSS.HSF-LE.A.1B
5.
MULTIPLE CHOICE QUESTION
3 mins • 12 pts
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.
Tags
CCSS.HSF-LE.A.1B
6.
MULTIPLE CHOICE QUESTION
30 sec • 12 pts
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.
Tags
CCSS.HSS.ID.C.8
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
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.
Tags
CCSS.HSF.LE.B.5
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