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- Simple_linear_regression abstract "In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. In other words, simple linear regression fits a straight line through the set of n points in such a way that makes the sum of squared residuals of the model (that is, vertical distances between the points of the data set and the fitted line) as small as possible.The adjective simple refers to the fact that this regression is one of the simplest in statistics. The slope of the fitted line is equal to the correlation between y and x corrected by the ratio of standard deviations of these variables. The intercept of the fitted line is such that it passes through the center of mass (x, y) of the data points.Other regression methods besides the simple ordinary least squares (OLS) also exist (see linear regression model). In particular, when one wants to do regression by eye, people usually tend to draw a slightly steeper line, closer to the one produced by the total least squares method. This occurs because it is more natural for one's mind to consider the orthogonal distances from the observations to the regression line, rather than the vertical ones as OLS method does.".
- Simple_linear_regression thumbnail Okuns_law_quarterly_differences.svg?width=300.
- Simple_linear_regression wikiPageExternalLink LeastSquaresFitting.html.
- Simple_linear_regression wikiPageID "2593771".
- Simple_linear_regression wikiPageRevisionID "601153008".
- Simple_linear_regression hasPhotoCollection Simple_linear_regression.
- Simple_linear_regression subject Category:Estimation_theory.
- Simple_linear_regression subject Category:Parametric_statistics.
- Simple_linear_regression subject Category:Regression_analysis.
- Simple_linear_regression comment "In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable. In other words, simple linear regression fits a straight line through the set of n points in such a way that makes the sum of squared residuals of the model (that is, vertical distances between the points of the data set and the fitted line) as small as possible.The adjective simple refers to the fact that this regression is one of the simplest in statistics.".
- Simple_linear_regression label "Regressão linear simples".
- Simple_linear_regression label "Simple linear regression".
- Simple_linear_regression sameAs Απλή_γραμμική_παλινδρόμηση.
- Simple_linear_regression sameAs Regresi_Linier_Sederhana.
- Simple_linear_regression sameAs Regressão_linear_simples.
- Simple_linear_regression sameAs m.07qdrr.
- Simple_linear_regression sameAs Q7520804.
- Simple_linear_regression sameAs Q7520804.
- Simple_linear_regression wasDerivedFrom Simple_linear_regression?oldid=601153008.
- Simple_linear_regression depiction Okuns_law_quarterly_differences.svg.
- Simple_linear_regression isPrimaryTopicOf Simple_linear_regression.