Describe a possible practical purpose for the data analysis


PART 1 -

Select either the factor response or the quantitative response for the analysis in Part 2.

a. Discuss why you selected the response variable (factor versus quantitative).

b. Describe a possible practical purpose for the data analysis and an audience who might be interested in this purpose.

PART 2 -

Consider all other variables (excluding the two possible response variables) to be predictor variables. Then, for the response variable you selected:

a. Identify two possible methods (from two different lessons) for predicting the response and provide justification for why these methods are appropriate for the data.

b. Use cross-validation techniques to select between the two methods (and among any parameters needed for those methods).

c. Add an outer level of cross-validation to further assess the predictive ability of the model selected.

d. Fit the final selected model to the data and summarize and discuss the outcome of the fit. Include estimates of any model parameters.

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Dissertation: Describe a possible practical purpose for the data analysis
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