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3 cards from this section. Quick, good the night before a test.
What is the formula for covariance?
Consider the expected value and average deviations.
What does a positive covariance indicate?
Think about how two variables relate to each other.
What is the possible range of covariance?
Consider how variables can differ broadly.
True or False: A correlation of 1 indicates a perfect negative correlation.
Think about the direction of the relationship.
A dataset represents heights (in cm) of individuals: {150, 160, 170, 180}. Another dataset gives weights (in kg): {50, 60, 70, 80}. Calculate the covariance and correlation.
Start by finding the averages and then apply the formulas.
Discuss how correlation can be misleading in determining relationships, using an example from public health.
Consider third variables that could influence the correlation.
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