Analytic Approach

The three questions below will guide the selection of appropriate methods to quantify the relationship between total costs and length of stay and birthweight.
  1. What is the response (Y) of interest and how is it measured? Total costs is the response variable found in the problem statement. It 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 requests a simultaneous prediction of total costs from length of stay and birthweight. Both of these predictor variables are continuous.
  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 quantify the relationship between total costs and length of stay and birthweight. A predictive equation will quantify this relationship. A multiple linear regression is a good starting point for developing a predictive equation. Multiple regression is a flexible modeling method to predict a continuous variable from nominal, ordinal, or continuous independent variables.
Last updated: October 12, 2017
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