Regression
Traditionally, statistical techniques, including regression analysis, have been used to define required staffing levels. With these techniques, statistical analyses are used to define the historical relationships between staffing levels and other variables (e.g., developing an equation that relates actual sales volume achieved to the number of sales staff employed). The use of regression requires historical data on both the independent variable(s) (e.g., sales, number of products produced, number of customers served) and the dependent variable (usually staffing levels or full-time equivalents). There are several types of regression analysis, including the following:
Simple, or single. This technique defines a straight-line relationship ...
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