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  2. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    v. t. e. In statistics, simple linear regression (SLR) is a linear regression model with a single explanatory variable. [1][2][3][4][5] That is, it concerns two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function ...

  3. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    It is one approach to handling the "errors in variables" problem, and is also sometimes used even when the covariates are assumed to be error-free. Linear Template Fit (LTF) [7] combines a linear regression with (generalized) least squares in order to determine the best estimator. The Linear Template Fit addresses the frequent issue, when the ...

  4. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    t. e. In statistics, linear regression is a statistical model that estimates the linear relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable). The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple ...

  5. Stepwise regression - Wikipedia

    en.wikipedia.org/wiki/Stepwise_regression

    Stepwise regression. In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. [1][2][3][4] In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion.

  6. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    Okun's law in macroeconomics states that in an economy the GDP growth should depend linearly on the changes in the unemployment rate. Here the ordinary least squares method is used to construct the regression line describing this law. In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown ...

  7. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In linear regression, the model specification is that the dependent variable, is a linear combination of the parameters (but need not be linear in the independent variables). For example, in simple linear regression for modeling n {\displaystyle n} data points there is one independent variable: x i {\displaystyle x_{i}} , and two parameters, β ...

  8. The Dark Side (magazine) - Wikipedia

    en.wikipedia.org/wiki/The_Dark_Side_(magazine)

    0960-6653. OCLC. 500038477. The Dark Side is a UK magazine covering the field of horror cinema. Published every four weeks, it covers new releases and features interviews with directors and actors. Launched in 1990, [1] it has been edited throughout its run by Allan Bryce. Originally owned by part of Robert Maxwell 's publishing empire, it was ...

  9. Bayesian linear regression - Wikipedia

    en.wikipedia.org/wiki/Bayesian_linear_regression

    Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables, with the goal of obtaining the posterior probability of the regression coefficients (as well as other parameters describing the distribution of the regressand) and ultimately allowing the out-of-sample prediction of the regressand (often ...