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Simple Linear Regression
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, simple linear regression is the least squares estimator of a linear regression model with a single predictor 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 fitted line has the slope equal to the correlation between y and x corrected by the ratio of standard deviations of these variables. 88 pp. Englisch. Seller Inventory # 9786130580117
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Simple Linear Regression | Mathematics, Normal Subgroups, Connected Space, Semisimple Lie Algebra
Print on DemandSeller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Simple Linear Regression | Mathematics, Normal Subgroups, Connected Space, Semisimple Lie Algebra | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130580117 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113233050
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Simple Linear Regression
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In statisticssimple linear regression is the least squares estimator of a linearregression model with a single predictor variable. In other wordssimple linear regression fits a straight line through the set of npoints in such a way that makes the sum of squared residuals of themodel (that is, vertical distances between the points of the data setand the fitted line) as small as possible. The adjective simple refersto the fact that this regression is one of the simplest in statistics.The fitted line has the slope equal to the correlation between y and xcorrected by the ratio of standard deviations of these variables.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Seller Inventory # 9786130580117
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