Correlation and Causation

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

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

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.HSF.LE.B.5

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.

Tags

CCSS.HSF.LE.B.5

Estimate the correlation coefficient

• r= -0.9

• r= 0.9

• r=-0.5

• r=0.5

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

Describe the relationship between the variables.

• Weak positive correlation
• Weak negative correlation
• Strong positive correlation
• Strong negative correlation

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

About how many male math teachers were there in 2006?

• 15
• 30
• 35
• 45

Tags

CCSS.HSF.IF.B.4

Find the equation of the line of best fit for the given data

• y = 163.41x+1.49

• y =- 163.41x+ 4.19

• y =- 4.19x+163.41

• y = 4.19x -163.41

Tags

CCSS.HSF.LE.B.5

If Joe worked 30 hours, how much is he expected to earn?

• $600
• $200
• $1000
• $800

Tags

CCSS.HSA.CED.A.1

CCSS.HSA.SSE.A.1

CCSS.HSA.REI.B.3

CCSS.HSF.BF.A.1

CCSS.HSF.LE.A.1

CCSS.HSF.LE.A.2

• 617.51 miles

• 621.09 miles

• 100 miles

• 0.19 miles

Tags

CCSS.HSF.LE.B.5