This template utilizes multiple regression analysis and forecast to identify the significant value drivers and predict business plan data. Statistical tests such as autocorrelation, multicollinearity, and significance are included for advanced analysis.

With an intuitive stepwise work flow, the software is easy to use, and can develop strong forecasts in a timely manner. The Multiple Regression Analysis and Forecasting model provides simple and flexible input, and includes a range of integrated help icons to facilitate easy utilization. Results and statistics are also explained in user-friendly language, making it possible for users of all levels of statistical expertise to understand the results.
Compared to the Excel Analysis Toolpak, the forecasting process offered by the Multiple Regression Analysis and Forecasting template provides much more functionality. It permits individual regression of all independent variables, offers the actual level of confidence for the results, and includes tests for autocorrelation and multicollinearity.
The forecasting process provided by the software offers options to employ 3rd polynomial, 2nd polynomial, exponential or linear trend lines on independent variables. It also provides the option to override independent variable forecast data with external data sources, such as those produced by other analytical tools.
In addition, the software is compatible with Excel 97-2013 for Windows and Excel 2011 or 2004 for Mac as a cross platform regression and forecasting solution. Overall, the Multiple Regression Analysis and Forecasting template is an invaluable software tool that can assist businesses and scientists in making educated forecasts and informed decisions about their future plans.
Version 3.2:
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.