1. List the 4 assumptions about the correlation statistic if we want to generalize beyond the sample statistic.
2. Which of the following is specific to the correlation coefficient?
   1. It can have a value of zero (0) thru one (1)
   2. It can have a value between -1 and +1.
   3. It is used to predict one variable if you know another.
   4. One has to have at least 100 subjects to calculate a correlation coefficient.
3. The following scatter plot was created for two characteristics of a sample of automobiles, weight and miles per gallon. After looking at the graph, what can you conclude about the relationship between the two characteristics?
   
   1. The correlation coefficient is approximately +1.
   2. The correlation coefficient is approximately -1.
   3. The correlation coefficient is approximately 0.
   4. One can’t estimate the correlation coefficient from the graph.
4. If there is no correlation between a dependent variable (Y) and an independent variable (X), can one predict Y knowing X? What is the best guess for Y?
5. Define multiple linear regression.
6. What is the difference between logistic regression and linear regression?
   EXTRA CRED IT
   1. You are a public health official interested in screening for diabetes in your state’s population. You have recently learned of a newly developed test that produced positive results in 138 of 190 known diabetics and in 24 of 150 persons known not to have diabetes.
   1. What is the sensitivity of the new test?
   2. What is the specificity of the new test?
   3. What is the false-positive rate of the new test?
   4. Suppose this test is applied to a population where the estimated prevalence of disease is 10%. Calculate the positive and negative predictive values of the test.

2. Explain difference between Relative Risk and Odds Ratio

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