The Multiple Regression Analysis and Forecasting model
provides a solid basis for identifying value drivers
and forecasting business plan data. While it utilises
a range of commonly employed statistical measures to
test the validity of the analysis, results are
summarized in text for ease of use. Once
relationships have been identified, forecasting can be
accomplished based on a range of available
methodologies. The intuitive step-by-step usage flow
enables you to develop strong forecasts for your
projects in a timely manner. The key features of the
Multiple Regression Analysis and Forecasting model
include: Ease and flexibility of input, with embedded
help prompts; User-friendly results display for
the 'Non-statistician'; Multiple and Individual
Regression of independent variables; Tests for
statistical significance, auto-correlation, and multi-
colinearity; and Quick forecasting process with
options to employ 3rd polynomial, 2nd polynomial,
exponential or linear trend lines on independent
variables.

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