correlation

What type of association is represented by the scatter plot

• Positive

• Negative

• None

Tags

CCSS.HSS.ID.B.5

Is the association a positive or negative association?

• Positive
• Negative

Tags

CCSS.HSS.ID.B.5

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

• negative: the more you run the less distance you jump

Tags

CCSS.HSF.IF.B.4

Describe the association for the scatterplot based on data plotted.

• As the weeks increase, the amount of money on the gift card increases.

• As the weeks decrease, the amount of money on the gift card increases.

• There is no relationship between the time in weeks and the amount of dollars.

• As the weeks increase, the amount of money on the gift card decreases.

Tags

CCSS.HSF-LE.A.1B

What type of correlation (association)?

The outside temperature and the amount of layers you wear.

• A) Positive correlation

• B) Negative correlation

• D) No correlation

Tags

CCSS.HSS.ID.B.5

As x increases, y decreases.

• A) no correlation

• B) negative correlation

• C) correlation coefficient

• D) positive correlation

Tags

CCSS.HSS.ID.C.9

As x increases, y increases

• A) correlation coefficient

• B) causation

• C) positive correlation

• D) negative correlation

Tags

CCSS.HSS.ID.C.9

The scatter plot shows the number coffee shops in different cities and the number of violent crimes. Which of the following is NOT true?

• A) As the number of coffee shops increase, violent crimes appears to increase.

• B) The line of best fit (regression line) shows a positive correlation

• C) The data has a positive correlation coefficient

• D) An increase in coffee shops causes an increase in violent crimes

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

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.HSS.ID.C.9