Excel, forecasting, multiple, regression, template, spreadsheet, business, planning, plan, proposal, statistical, testing, multicolinearity, auto, correlation, Durbin-Watson, Pearson, Coefficient, value, drivers, identification, analysis, business Regression Analysis and Forecasting

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The Multiple Regression Analysis and Forecasting template provides a reliable identification of valu Regression Analysis and Forecasting
Program type: Shareware
Price $ 19 / 15.00
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File size: 167 Kb
Date: 04/10/2015
Homepage
Install support: Install and Uninstall
OS: Win98, WinOther, Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, WinVista, WinVista x64, Mac Other, Mac OS X
Requirements: Requires Microsoft Excel 97 or higher
Language: English

Excel or also forecasting, multiple and regression or free template and cheap spreadsheet or the business, good planning or also plan, proposal and statistical or free testing and cheap multicolinearity or the auto, good correlation or also Durbin Watson, Pearson and Coefficient or free value and cheap drivers or the identification, good analysis or also business

Regression Analysis and Forecasting 3.0
[Homepage] - by: Business Spreadsheets - Download links for Regression Analysis and Forecasting

Producing statistically sound value driver identification for forecasting data.
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Description:
The Multiple Regression Analysis and Forecasting template enables the confident identification of value drivers and forecasting business plan or scientific data. The multiple regression process utilizes commonly employed statistical measures to test the validity of the analysis and results are summarized in text form to be easily understood. When predictive relationships have been identified by the regression analysis, forecasting can be quickly accomplished based on a range of available methodologies and accompanying statistical strength. An intuitive stepwise work flow enables to develop strong forecasts for projects in a timely manner. The Multiple Regression Analysis and Forecasting model provides simple and flexible input with integrated help icons to facilitate utilization. Results and statistics are explained in a user friendly manner to be understood by users of all levels of statistical expertize. The Multiple regression analysis and forecasting template provides much more functionality than the Excel Analysis Toolpak such as individual regression of all independent variables, the actual level of confidence for the results, and tests of for autocorrelation and multicollinearity. The forecasting process provides options to employ 3rd polynomial, 2nd polynomial, exponential or linear trend lines on independent variables as well as the option to override independent variable forecast data with external analysis. The Multiple Regression Analysis and Forecasting template is compatible with Excel 97-2013 for Windows and Excel 2011 or 2004 for Mac as a cross platform regression and forecasting solution.

Recent changes in this Major Update:
No limit to the number of independent variables. Automatic and configurable feature selection. Faster data processing. Support for categorical and logistic/binary variables. Save as XLSM feature for recent versions of Excel and enhanced exporting functions.


 

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 Download good software, freeware and shareware: MS Windows, Seven, Vista, Linux, Java, Pocket PC, Palm, OSX, Cell phone, buy Quality professional applications, solid commercial programsProducing statistically sound value driver identification for forecasting data. Excel, forecasting, multiple, regression, template, spreadsheet, business, planning, plan, proposal, statistical, testing, multicolinearity, auto, correlation, Durbin-Watson, Pearson, Coefficient, value, drivers, identification, analysis, business

Excel, forecasting, multiple, regression, template, spreadsheet, business, planning, plan, proposal, statistical, testing, multicolinearity, auto, correlation, Durbin-Watson, Pearson, Coefficient, value, drivers, identification, analysis, business 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.

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