The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilizes 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.

• Multiple Regression Analysis and Forecasting 1.
  The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises...

• Regression Analysis and Forecasting 1.0
  The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data

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• FindGraph 1.924
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• StatPlus 2007 4.9.2.0
  With StatPlus 2007, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface. The range of possible applications of StatPlus 2007 is virtually unlimited - sociology, financial analysis, biostatistics, economics, insurance industry, healthcare and clinical...

• StatPlus 2009 5.8.4.0
  With StatPlus 2009, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface

• Polynomial Regression 1.00
  Performs multivariate polynomial regression using the Least Squares method

• Regression Analysis - DataFitting 1.7.6
  DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i