Spss Linear Regression Output

The non-linear regression problem (univariate or multivariate) is easily posed using a graphical user interface (GUI) that solves the problem using one of the following solvers: - nlinfit: only univariate problems. - lsqnonlin: can deal with multivariate problems (more than one dependent fitting...

Adds the statistical functions ANOVA (OneWayANOVA-Stacked, OneWayANOVA-Unstacked, TwoWayANOVA)and Multiple Linear Regression ( output with Coefficients and further forecasting based on the Multiple Linear Regression model)into the Statistics Category of the function list of prevailing OpenOffice...

PSPP is a program for statistical analysis of sampled data. It is a Free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions. The most important of these exceptions are, that there are no 'time bombs'; your copy of PSPP will not 'expire' or...


Platforms: Windows

A modern, interactive, Mac OS X Universal graphing application, providing: - A rich variety of graph types with numerous styles of data representation - Real-time, two-way interaction with data, enabling simultaneous data visualization and graphing from multiple worksheets - Exploratory tools...


Platforms: Mac

Passing & Bablok described this procedure in the 1983.This procedure is ideal if you want to compare 2 different methods (instrument) which measure the same chemical analyte in the same sample.Classical linear regression method assume that variables X and Y are normal distributed and with a...


Platforms: Matlab

This is a Wrapper (calling a simple cmd line), it includes the WEKA.jar file, the arff read and arff write files from Durga Lal Shrestha and My scripts to link them and run Model Tree, Neural Networks, support vector regression models, Linear Regression model etc, it includes a testing script...


Platforms: Matlab

This package contains program adaptations to invert large matrices with thousands of elements and solve linear system with many variables (up to 250 ). Operations performed are: inversion, multiplication, solving linear system, linear regression and polynomial regression. A useful Excel addin is...


Platforms: MS Excel Add-in

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models...


Platforms: Mac

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models...


Platforms: Windows

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models...


Platforms: Linux

The training input vectors and target vectors are read from files data1in and data1out respectively. The no of nodes in input and output layer is decided depending on the no. of rows in these datasets.The no of hidden layers, No of nodes in each hidden layer and the target error (put 0.1) is to...


Platforms: Matlab

Statistics::Forecast is a Perl module that calculates a future value. This is a dummy Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression. SYNOPSIS use Statistics::Forecast; Create forecast object my...


Platforms: *nix

Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...


Platforms: *nix

Magic Number Machine... A free, full-featured, graphically laid out, high-precision, scientific calculator for Mac OS X 10.4 or later. Full source-code is included with the distribution.Ideal if you need to enter large expressions or have accurate precision. "Data" drawers allow an easy way to...


Platforms: Mac

StockWhip keeps detailed records of your stock portfolios and with cash reserves, gives you accurate performance figures over multiple time periods for each month of operation in comparison with an index of your choice. It supports watchlists to track arbitrary lists of stocks and can suggest...


Platforms: Windows

SalStat is an application for the statistical analysis of scientific data (with a special concentration on psychology ) . It can do many types of descriptive statistics, t tests (paired, unpaired and one sample), correlations linear regression and point biserial tests, and single factor anova...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

In this submission we present the code of the Replacement Method (RM) [1-4] and Enhanced Replacement Method (ERM)[5], that were proposed some time ago by our group. Both methods produce linear regression QSPR-QSAR models that are quite close the FS (full search) ones with much less computational...


Platforms: Matlab

** Update: The webinar recording is available at:http://www.mathworks.com/company/events/we.../wbnr51423.htmlThis example demonstrates building a short term electricity load (and price) forecasting system with MATLABdlT«. Two non-linear regression models (Neural Networks and Bagged Regression...


Platforms: Matlab

ENZyme KINetics is the study of the chemical reactions that are catalysed by enzymes. In enzyme kinetics the reaction rate is measured and the effects of varying the conditions of the reaction investigated. Studying an enzyme's kinetics in this way can reveal the catalytic mechanism of this...


Platforms: Matlab

This demo gives a clear visual presentation of what happens during the Adaboost algorithms. It shows how the decision boundary, example weights, training error and base learner weights change during training.A selection of base learning algorithms are included: Linear Regression, Naive Bayes,...


Platforms: Matlab