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The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting data for input to valuation and analytical models. While it utilizes a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in layman's terms for ease of use. Once relationships have been identified via automated or manual feature selection, forecasting can be accomplished based on a range of calculated methodologies.
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