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Journal of Quality Technology, 1971
(1971). Multiple Linear Regression. Journal of Quality Technology: Vol. 3, No. 4, pp. 184-189.
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(1971). Multiple Linear Regression. Journal of Quality Technology: Vol. 3, No. 4, pp. 184-189.
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2001
Multiple linear regression represents a generalization to more than a single explanatory variable of the simple linear regression model introduced in Chapter 4. The aim of this type of regression is to model the relationship between a random response variable and a number of explanatory variables.
Brian Everitt, Sophia Rabe-Hesketh
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Multiple linear regression represents a generalization to more than a single explanatory variable of the simple linear regression model introduced in Chapter 4. The aim of this type of regression is to model the relationship between a random response variable and a number of explanatory variables.
Brian Everitt, Sophia Rabe-Hesketh
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2018
This chapter intends to develop a mathematical model that allows predicting, with an acceptable degree of uncertainty, the energy consumption and CO2 emissions for the office buildings in Chile. Through the multivariable regression method, diverse equations will be produced that will bear in mind the parameters mentioned for the different locations. In
Carlos Rubio-Bellido +2 more
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This chapter intends to develop a mathematical model that allows predicting, with an acceptable degree of uncertainty, the energy consumption and CO2 emissions for the office buildings in Chile. Through the multivariable regression method, diverse equations will be produced that will bear in mind the parameters mentioned for the different locations. In
Carlos Rubio-Bellido +2 more
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2003
In den vorangegangenen Kapiteln haben wir uns auf Falle konzentriert, in denen es um die Beschreibung der Abhangigkeit eines einzigen Regressanden Y von nur einem oder nur zwei Regressoren X und Z ging. Mehr als zwei Regressoren kamen bisher nur am Rande vor, etwa als Spezialfall der bedingten linearen Regression in Kapitel 10.
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In den vorangegangenen Kapiteln haben wir uns auf Falle konzentriert, in denen es um die Beschreibung der Abhangigkeit eines einzigen Regressanden Y von nur einem oder nur zwei Regressoren X und Z ging. Mehr als zwei Regressoren kamen bisher nur am Rande vor, etwa als Spezialfall der bedingten linearen Regression in Kapitel 10.
openaire +1 more source