Correlation

The video discusses the correlation between children's height and reading ability, noting that both tend to increase with age. It emphasizes that correlation does not imply causation, as the increase in both height and reading ability is due to age, not because being taller aids reading.

What is an example of two variables that are strongly correlated?

• Children's height and reading ability

• Children's age and weight

• Children's height and shoe size

• Children's reading ability and math skills

Why might children's height and reading ability both increase?

• Because being taller directly improves reading skills

• Because both tend to increase with age

• Because reading more makes children grow taller

• Because of a genetic link between height and reading

What does correlation between two variables indicate?

• There is a relationship between the two variables

• One variable is dependent on the other

• One variable causes the other to change

• The variables are unrelated

What is a common misconception about correlation?

• That it shows a relationship between variables

• That it is always negative

• That it implies causation

• That it is always positive

What is the main takeaway about correlation and causation?

• Causation always implies correlation

• Correlation never implies causation

• Correlation always implies causation

• Causation never implies correlation