1. Give one example of health-related data (a variable) that can be represented by a pie chart. Do the same for a bar chart and a histogram. Explain why each data example you selected (there will be a total of three different variables) is well represented by the corresponding graph.

2. Much has been written about the relationship between a student’s S.A.T. test scores and their family’s income. Generally speaking, there is a strong positive correlation between income and S.A.T. scores. What might this tell you? Is this evidence that having a high family income causes one to have high S.A.T. scores? Is this evidence that high S.A.T. scores are a cause of high income? Or, does this tell you something else? If something else, what? In the course of your response, explain why correlation alone is rarely sufficient to demonstrate cause.

3.Explain the relationship between correlation and regression. What do the two approaches have in common, and how are they different? In what types of research might one approach be preferred over the other? Explain and justify your response. Be sure that your discussion refers to both predictor and criterion variables as well as their role in the regression equation.