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1. If you are calculating a correlation coefficient testing the relationship between height and weight, state the null and alternative hypotheses.
2. What kind of relationship does a correlation coefficient test?
3. What does a "perfect negative correlation" mean?
4. What number will your correlation coefficient be close to when there is no particular pattern of relationship between your x variable and your y variable?
5. Interpret the correlation coefficient in the scatter plots below?
A. Do the correlation matrix table. B. Which variable (s) has the largest correlation coeffieient which is not a perfect correlation? C. Which variable (s) has the s
Use only the rare event rule, and make subjective estimates to determine whether events are likely. For example, if the claim is that a coin favors heads and sample results consis
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entropy test to measure interaction between enviornmental factors and genes
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