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Home > Software > Business > Math & Scientific Tools > Regression Analysis and Forecasting 1.0

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Regression Analysis and Forecasting 1.0 ( View screenshot )




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.

Updated 9, 2005 05: 1:8:
Rating 16 ( -2 -12.5% )
Size162 kb
LicenceShareware
StatusNew Release
LanguagesEnglish
OSWindows 95,98,ME,NT,2000,XP
Homepageexcelbusinesstools.com
Emailcontact@excelbusinesstools.com
KeywordsExcel forecasting multiple regression template spreadsheet business planning plan proposal statistical testing multicolinearity auto correlation Durbin-Watson Pearson Coefficient value drivers identification analysis business
AuthorRussell Penlington
Regression Analysis and Forecasting software. 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. 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  download

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Description:
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.
System Requirements:
Requires Microsoft Excel 97 or higher
Regression Analysis and Forecasting 1.0 Download from excelbusinesstools.com

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