Due to Course Drop-Box by Friday, March 21st at 5pm.

Last modified: Thu Mar 20 11:14:06 EST 2003

You will need a dataset with at least several explanatory variables, so that you can perform model selection and examine more than one possible model/research questions. You may work alone or in pairs. Important general information on posters including ideas for datasets.

• Directions for 1-2 page analysis plan. It is worth 5% toward your project grade, and is intended for the TAs and me to make sure you have a project that is appropriate for the class. The plan will have the following components:

  • Project title and group members

  • Description of the data you will use. Where found? How collected? How does the data relate to the research question? What role will each variable play in exploring the general research question? Give the outcome (dependent, response, Y) and predictor (independent, X) variables you will use to answer the questions.

    You'll submit a table summarizing the variables of interest. Column 1: Variable Name. Column 2: Indicate whether continuous, discrete, categorical. Column 3: units of the variable. Column 4: Number of observations for this variable.

  • Basic features of the data you will use. Include at least a couple of scatterplots showing general features of the data. Pairs plots are OK to submit here.

  • The general questions you will answer, and hypothesized answers (i.e. what do you expect to see?). What results from these specific statistical methods are needed to support your hypothesized answer?

  • The statistical method(s) that you will use to help answer the question.

  • If the data were not provided by me, attach a copy of the first few lines of the dataset with labeled variables or you may provide the link to the web address where the data are located. If your dataset is large, handing in a subset of observations is acceptable.

  The Duke Honor Code applies in our course and to these projects. It is assumed that you will not collaborate with students who may have worked with the same datasets in past regression courses. We will compare current posters to past posters if Honor Code violations are suspected.

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