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Multiple Regression Analysis and Forecasting Producing statistically sound value driver identification for forecasting data
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Multiple Regression Analysis and Forecasting 1.0
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Producing statistically sound value driver identification for forecasting data
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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.

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Price $ 14 / NZD 29
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Business and Finance: Business and Finance:Spreadsheets

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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.

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Click here for download / more info about Regression Analysis and Forecasting Business_and_Finance Spreadsheets
The Multiple Regression Analysis and Forecasting template provides a reliable identification of value drivers and forecasting business plan data. Advanced statistical tests performed include significance, autocorrelation and multicollinearity.


Type: Shareware
Price $ 14 / NZD 29
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Purchase - Get it Now

File size: 162 Kb
Date: 02/04/2004
Homepage
Install support: Install and Uninstall
OS: Win95, Win98, WinME, WinNT 3.x, WinNT 4.x, WinXP, Windows2000
System requirements: Requires Microsoft Excel 97 or higher
Language: English




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