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regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting data

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Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman`s, t-test, z-transform) and rank (Spearman`s, Kendall`s) correlation, linear regression and conditional means. Standard Probability Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson

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Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman`s, t-test, z-transform) and rank (Spearman`s, Kendall`s) correlation, linear regression and conditional means. Standard Probability Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson

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Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman`s, t-test, z-transform) and rank (Spearman`s, Kendall`s) correlation, linear regression and conditional means. Standard Probability Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson

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Regression Module Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman`s, t-test, z-transform) and rank (Spearman`s, Kendall`s) correlation, linear regression and conditional means. Standard Probability Distributions Module This module assists in the development of applications that incorporate the Binomial, Poisson

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