What is needed, along with total manpower requirements, to develop a functional estimating equation using regression analysis?

To develop a functional estimating equation using regression analysis, it is essential to incorporate program estimating factor data alongside total manpower requirements. This is crucial because program estimating factors serve as the independent variables that can explain variances in manpower needs based on specific program conditions or characteristics.

Using these factors, regression analysis can identify patterns and relationships between the variables, allowing for more accurate predictions of manpower requirements based on changes in the estimating factors. This relationship enhances the model's predictive power, enabling an organization to make informed decisions about resource allocation and planning.

While historical workload data, cost analysis data, and budgetary information can all provide valuable insights and context for manpower planning, they do not directly contribute to the establishment of the regression equation in the same manner that program estimating factor data does. The focus here is on creating a model that reflects the systematic relationship between quantifiable program-specific characteristics and manpower needs, which is precisely what program estimating factors are designed to provide.