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4 cards from this section. Quick, good the night before a test.
What does covariance measure?
Think about whether they increase or decrease together.
What is the correlation coefficient range?
Consider the extreme values it can take.
What does a positive covariance indicate?
Think about how both variables interact.
The correlation coefficient can only be found between which two values?
Recall the extremes of correlation.
Consider two datasets: A = {10, 20, 30, 40, 50} and B = {5, 15, 25, 35, 40}. Calculate the covariance and correlation. Discuss their implications.
Don't forget to calculate means first and standard deviations while solving.
You are analyzing the height and weight of a sample of plants. The covariance between height and weight is found to be positive. What does this suggest about their relationship, and how might environmental factors play a role?
Consider the biological growth environments that affect both height and weight.
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