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  2. Pseudo-R-squared - Wikipedia

    en.wikipedia.org/wiki/Pseudo-R-squared

    R 2 L is given by Cohen: [1] =. This is the most analogous index to the squared multiple correlations in linear regression. [3] It represents the proportional reduction in the deviance wherein the deviance is treated as a measure of variation analogous but not identical to the variance in linear regression analysis. [3]

  3. MedCalc - Wikipedia

    en.wikipedia.org/wiki/MedCalc

    MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics, ANOVA, Mann–Whitney test, Wilcoxon test, χ 2 test, correlation, linear as well as non-linear regression, logistic regression, and multivariate statistics. [5]

  4. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    A standalone Google Lens app was made available on Google Play in June 2018. Device support is limited, although it is not clear which devices are not supported or why. It requires Android Marshmallow (6.0) or newer. [23] On December 10, 2018, Google rolled out the Lens visual search feature to the Google app for iOS. [24]

  5. General linear model - Wikipedia

    en.wikipedia.org/wiki/General_linear_model

    The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that sense it is not a separate statistical linear model. The various multiple linear regression models may be compactly written as [1]

  6. Multivariate adaptive regression spline - Wikipedia

    en.wikipedia.org/wiki/Multivariate_adaptive...

    In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. [1] It is a non-parametric regression technique and can be seen as an extension of linear models that automatically models nonlinearities and interactions between variables.

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...

  8. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/wiki/Origin_(data_analysis...

    Origin is a proprietary computer program for interactive scientific graphing and data analysis.It is produced by OriginLab Corporation, and runs on Microsoft Windows.It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis.

  9. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...