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Free software program solutions from the most popular in download collections! Use the called for programs sections, watch the freshest updates of the famous programs utilities, and get immediately! Do not lose an advantage to setup the popular utilities: employ SoftEmpire to get software package for free of charge. Meet the website of free programs and software package test versions. Choose among Windows and Linux apps, acquire planners, softwares for relax, and all other types of apps for your computer or cell gadgets!
Select the category for the financial shareware and freeware you are looking for. You can download and try out the finance software before you buy it. Some software is free and some is shareware, meaning you can try the software out, but you will need to purchase the software if you want to use it long term. Enjoy these financial software programs. We hope they help you get your finances in order and help organize your financial needs.
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Regression Analysis and Forecasting
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Vendor Price: $ 14
License: Shareware
File Size: 0.13 Mb
Version: 1.0
Release Date:
1 Dec 2006
OS: Win95, Win98, WinME, WinNT 3.x, WinNT 4.x, Windows2000, WinXP, Mac OS X, Mac OS X 10.4, Mac OS X 10.5
System Requirements:
Requires Microsoft Excel 97 or higher
Company: Business Spreadsheets
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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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