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, 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.
Software related to Regression Analysis and Forecasting
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. While it utilises 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.
Lokad OpenShell Open source (BSD) PowerShell snap-in featuring CmdLets dedicated to time-series forecasting. Time-series forecasts are used for sales forecasting, staff scheduling, resource planning, inventory management (among many others).
ForeStock Collection of advanced forecasting algorithms for Equis Metastock(R). ARIMA with seasonal trend detection. Stepwise multivariate regression. Proven backhistory. Real-time speed. Expert Advisors, Indicators and System Testers. Open scripts.
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.
Lokad osCommerce Sales Forecasting Integrate sales forecasting reports in your osCommerce web application. Smart inventory management is a cornerstone of profitability. Get daily / weekly / monthly forecasts for each product of your catalog. Cut and paste to MS Excel.
Lokad Sales Forecasting for ASP.Net Integrate sales forecasting reports in your eCommerce application. Smart inventory management is a cornerstone of eCommerce profitability. Get daily / weekly / monthly forecasts for each product of your catalog (CSV format supported for MS Excel).
ZGrapher This graphing calculator can plot y(x), x(y), polar, parametric and table-defined functions. Calculus features include obtaining derivatives, equations of tangents and normals, numerical integration, regression analysis.
CatMV The CatMV program is a realization of the "Caterpillar"-SSA method for analysis of time series, which may contain missing values.
Lokad Desktop Sales Forecasting Integrate sales forecasting reports in your commerce/accounting application. Smart inventory management is a cornerstone of profitability. Get daily / weekly / monthly forecasts for each product of your catalog. Cut and paste to MS Excel.
DMFitter ActiveX control DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms with user defined models are available.
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.
