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A Note on not Beginning With a General Model
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TitleA Note on not Beginning With a General Model  
AuthorWei Jinrui, Zhu Jianping and Xie Bangchang  
OrganizationSchool of Economics, Xiamen University, Fujian 
Emailwejerry@139.com 
Key WordsIncrease Variable Regression; Reduce Variable Regression; Orthogonal; Related; Partial Regression 
AbstractIn general linear regression model for example, on the condition of the independence between explanatory variables and disturbance: if explanatory variables are orthogonal, the regression model should not begin with a general one; if there exist correlation between the explanatory variables, the general model is always the first choice. Secondly, although the coefficient of explanatory variables would change while increasing or decreasing explanatory variables if they are correlated, the meaning of partial regression is not destroyed. the omitted explanatory variables, important or not,is concerned in theory;While statistical inference focuses on the correlation.  
Serial NumberWP122 
Time2011-10-27 
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