Analytic Approach

The three questions below will guide the selection of appropriate methods to explore the data for newborns’ hospital stays in the Adirondack region in 2014 with a primary objective of identifying factors related to total cost.
  1. What is the response (Y) of interest and how is it measured? The variable of primary interest is total cost which is a continuous variable.
  2. Are predictor variables mentioned in the problem statement? If so, how many and what are their measurement levels? The problem statement asks for the information on newborns to be explored with a focus on total costs. There are a number of nominal, ordinal, and continuous variables in the data set that may be related to total cost.
  3. What are you being asked to deliver? A data description, an interval estimate, an answer to a question, or a predictive model? You are being asked to explore the newborn data as related to total cost for an inpatient hospital stay. Visualization is an effective way to identify and display possible relationships that are candidates for more detailed analysis.
Last updated: October 12, 2017
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