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Regression Analysis and Forecasting 1.0 Antivirus Report
Regression Analysis and Forecasting software
have been tested by downloadtopc.com team on 15 June 2006 against viruses,
spyware, adware and was founded to be 100% clean.
However, we can't guarantee that the software have not changed since we have
checked, but we will recheck this software periodically to assure users that it remain clean.
Note: this award offered by DownloadToPc.com
should be used only by the author/publisher of the Regression Analysis and Forecasting software.
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Regression Analysis and Forecasting 1.0 Antivirus Report
Archive: regfor.zip
inflating: Regression_Forecasting.xls
inflating: readme.txt
Scanning Regression_Forecasting.xls
Regression_Forecasting.xls: OK
Scanning readme.txt
readme.txt: OK
Scanning regfor.zip
regfor.zip: OK
----------- SCAN SUMMARY -----------
Scanned directories: 1
Scanned files: 3
Infected files: 0
Data scanned: 1.00 MB
Time: 1.615 sec (0 m 1 s)
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Regression Analysis and Forecasting Antivirus report from DownloadToPc.com
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Regression Analysis and Forecasting 1.0 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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