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2017
Sie lernen in Erweiterung der Ihnen bekannten einfachen linearen Regression, wie man aus den Daten einer Stichprobe eine lineare funktionale Beziehung zwischen einem abhangigen Merkmal und mehreren unabhangigen Merkmalen gewinnt. Sie haben verstanden, dass die grundsatzlichen Uberlegungen ganz weitgehend analog zum Fall der einfachen Regression sind ...
Thomas Schuster, Arndt Liesen
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Sie lernen in Erweiterung der Ihnen bekannten einfachen linearen Regression, wie man aus den Daten einer Stichprobe eine lineare funktionale Beziehung zwischen einem abhangigen Merkmal und mehreren unabhangigen Merkmalen gewinnt. Sie haben verstanden, dass die grundsatzlichen Uberlegungen ganz weitgehend analog zum Fall der einfachen Regression sind ...
Thomas Schuster, Arndt Liesen
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1991
The multiple linear regression model is the most commonly applied statistical technique for relating a set of two or more variables. In Chapter 3 the concept of a regression model was introduced to study the relationship between two quantitative variables X and Y.
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The multiple linear regression model is the most commonly applied statistical technique for relating a set of two or more variables. In Chapter 3 the concept of a regression model was introduced to study the relationship between two quantitative variables X and Y.
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1987
The multiple linear regression model describes the relationship between a response variable y and a number of explanatory variables x1,…xp,p≥2. A multiple regression analysis is an analysis of a data set composed of n cases (yi,xi1,…xip), i=1,…,n, where each case consists of joint observations of the response variable and the explanatory variables as ...
Erling B. Andersen +2 more
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The multiple linear regression model describes the relationship between a response variable y and a number of explanatory variables x1,…xp,p≥2. A multiple regression analysis is an analysis of a data set composed of n cases (yi,xi1,…xip), i=1,…,n, where each case consists of joint observations of the response variable and the explanatory variables as ...
Erling B. Andersen +2 more
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A study over the general formula of regression sum of squares in multiple linear regression
Numerical Methods for Partial Differential Equations, 2021Mehmet Korkmaz
exaly
Testing multiple linear regression systems with metamorphic testing
Journal of Systems and Software, 2021Quang-Hung Luu +2 more
exaly
The OWA operator in multiple linear regression
Applied Soft Computing Journal, 2022Martha Flores-Sosa +2 more
exaly
Multiple linear regression based model for the indoor temperature of mobile containers
Heliyon, 2022Zoltan Patonai +2 more
exaly

