Multiple Regression Analysis and Forecasting
The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis,
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XLSTAT-Pro (Win)
XLSTAT is a complete analysis and statistics add-in for MS Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much
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Regression Tester
Website and Web Application Testing.
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ForeStock
Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven backhistory. Full intraday capable
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The Unscrambler
Complete software package for Multivariate Data Analysis and Experimental Design. The Unscrambler`s Principal Components Analysis (PCA), Partial Least Squares Regression (PLSR) analysis and three-way PLS regression capabilities are unparalleled.
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Regression Business Plan Forecasting
The Multiple Regression Forecasting template provides a solid basis for identifying value drivers and forecasting business plan data.
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XLSTAT-Pro
XLSTAT-Pro is the analytical add-in for MS Excel and includes many statistical and data analysis functions, including forecasting methods
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statistiXL
statistiXL is a powerful data analysis add-in for MS Excel. Its abilities include: ANOVA, Contingency Tables, Clustering, Correlation, Discriminant and Factor Analysis, GOF, Regression, Nonparametrics, PCA, Uni and Multivariate t-Tests and many more.
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4IE iMacros Web Macro Recorder
iMacros relieves the repetition of checking on the same sites every day, remembering passwords and filling out web forms or web scraping. Web professional can use the software for functional testing and regression web testing of web applications.
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DataFit
DataFit is a tool used to perform nonlinear regression (curve fitting), statistical analysis & data plotting. Fit equations with up to 100 parameters to data with up to 20 independent variables. Define your own equations or choose from over 600 pre-defined
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