Mon, 11/18/2013 - 6:14pm — Professor Shortell

Identify a numeric dependent variable. Select at least five potential independent variables. You may need to create an index or create binary variables. Identify the independent variable that you think is the most important causal factor.

First, calculate the regression model without the variable you selected as most important. Note the goodness of fit of the incomplete model. Next, calculate the model with the most important variable included (along with the others). Note the change in goodness of fit. This is the causal contribution of the most important variable (as you identified it). Interpret the results, if appropriate, of the second model.

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