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Description: !逐步回归分析程序:
! M:输入变量,M=N+1,其中N为自变量的个数;M包括的因变量个数
! K:输入变量,观测点数;
! F1:引入因子时显著性的F-分布值;
! F2:剔除因子时显著性的F-分布值;
! XX:存放自变量和因变量的平均值;
! B:存放回归系数;
! V:存放偏回归平方和和残差平方和Q;
! S:存放回归系数的标准偏差和估计的标准偏差;
! C:存放复相关系数;
! F:存放F-检验值;
Platform: |
Size: 2290 |
Author: wang hanting |
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Description: !逐步回归分析程序:
! M:输入变量,M=N+1,其中N为自变量的个数;M包括的因变量个数
! K:输入变量,观测点数;
! F1:引入因子时显著性的F-分布值;
! F2:剔除因子时显著性的F-分布值;
! XX:存放自变量和因变量的平均值;
! B:存放回归系数;
! V:存放偏回归平方和和残差平方和Q;
! S:存放回归系数的标准偏差和估计的标准偏差;
! C:存放复相关系数;
! F:存放F-检验值;-! Stepwise regression analysis procedure:! M: input variables, M = N+ 1, in which N is the number of independent variables M, including the number of the dependent variable! K: input variables, observation points ! F1: when to introduce a significant factor of the F-distribution value ! F2: remove significant factor when the F-distribution value ! XX: storage self-variables and the dependent variable on average ! B: regression coefficient storage ! V: store partial regression sum of squares and residual sum of squares Q ! S: storage of the standard deviation of regression coefficients and the estimated standard deviation ! C: storage of multiple correlation coefficient ! F: storing F-test value
Platform: |
Size: 2048 |
Author: wang hanting |
Hits: