Software Multiple Regression Analysis and Forecasting download

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(BELOW!) FREE DOWNLOAD LINKS FOR:  Multiple Regression Analysis and Forecasting 1.0
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.
(description, more information, click here - Producing statistically sound value driver identification for forecasting data)

File size: 162 Kb

The Multiple Regression Analysis and Forecasting template provides a solid basis for identifying value drivers and forecasting business plan data. Advanced statistical tests performed include significance, auto correlation, and multi colinearity.

(Producing statistically sound value driver identification for forecasting data)

This is the download page for Multiple Regression Analysis and Forecasting - 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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