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The Multiple Regression Analysis and Forecasting template provides a reliable identification of value drivers and forecasting business plan data. Advanced statistical tests performed include significance, autocorrelation and multicollinearity.

StatPlus 2007

StatPlus 2007

(512k): 05 m 38 s
(1Mb): 02 m 49 s
(2Mb): 01 m 25 s
(5Mb): 34 s
(10Mb): 17 s

With StatPlus 2007, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface. The range of possible applications of StatPlus 2007 is virtually unlimited - sociology, financial analysis, biostatistics, economics, insurance industry, healthcare and clinical research, probability calculations for lotteries and gambling operations - to name just a few fields where the program is already being extensively used. While StatPlus 2007 is a "heavy-duty" professional statistical analysis tool, the interface is so simple that even people who have no knowledge of statistics are capable of processing data, provided they know how to use PC and clear instructions are given. This frees up intellectual urces for analyzing the results, rather than agonizing over who and how processed the data, and if any mistakes were made in the process.

Statistical features:
1.Basic statistics:
-determining descriptive statistics
-normality tests
-T-Test/Pagurova Criterion/G-Criterion
-Fisher F-test
-correlation coefficients (Pearson, Fechner) and covariation
-frequency tables analysis
2.ANOVA (MANOVA, GLM ANOVA, Latin squares analysis)
3.Nonparametric statistics:
-2x2 Tables Analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.)
-rank correlations (Kendall Tau, Spearman R, Gamma, etc.)
-comparing independent samples (Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion;Kruskal-Wallis ANOVA, median test)
-comparing dependent samples (Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's Coeff. of Concordance)
-Cochran Q Test
4.Regression analysis:
-multivariate linear regression
-logistic regression
-stepwise regression
-polynomial regression
-Cox proportional-hazards regression
5.Time series analysis
6.Survival analysis
-Cox regression
-probit-analysis (LD50, LD50 SE, cumulation coefficient, LD100 calculation)

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