Regression and Statistical Analysis
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Regression and Statistical Analysis

All business enterprises and even many academic research projects need and require some form of Regression and Statistical Analysis in order to determine strategy, measure the effectiveness of projects, or to confirm or deny hypotheses and research assumptions. In business, regression analysis is often employed to predict whether a strategy will result in the targeted objectives according to the key business indicators. In a research project application, the key business indicators would be replaced by dependent variables and their relationship with the research hypothesis or independent variables being examined. From a business perspective, the hypothesis would be project itself and the related business drivers being used to determine whether the strategy is appropriate or not. Regression analysis is itself a form of statistical analysis and any structured method used to examine data might be referred to as statistical analysis. In this regard, regression analysis could be described as statistical forecasting where the dependent variable and the independent variables are examined in relation to each other. Business enterprises and academic researchers depend on Regression and Statistical Analysis to make sense of raw data.

We, at, have a well developed network of statisticians able to apply the principles of regression and statistical analysis to any business problem. Call us today to find out more.

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