Line of Best Fit

A correlation shows that two things

• Are Related

• Cause Each Other to Happen

• Are Unrelated

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.9

This implies that one variable has a direct affect on the other variable.

• Correlation
• Causation

Tags

CCSS.HSF-LE.A.1B

Correlation or Causation?

The speed you drive and the amount of fuel you use

• Correlation

• Causation

Tags

CCSS.HSF-LE.A.1B

Correlation or Causation?

The inches of snowfall and the number of heart attacks

• Correlation

• Causation

Tags

CCSS.HSF-LE.A.1B

Correlation or Causation?

Number of followers on social media and number of posts

• Correlation

• Causation

Tags

CCSS.HSF-LE.A.1B

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

What is the correlation for the following Scatter Plot.

• Weak Positive

• No Correlation

• Strong Negative

• Weak Negative

• Strong Positive

Tags

CCSS.HSF-LE.A.1B

What is the correlation for the following Scatter Plot.

• Weak Positive

• No Correlation

• Strong Negative

• Weak Negative

• Strong Positive

Tags

CCSS.HSF-LE.A.1B

Given the following Scatter Plot, select the option that is most likely the r value.

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

If r=0, there is a strong correlation.

• True

• False

Tags

CCSS.HSF-LE.A.1B