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表 3 : 多元線性迴歸分析
TQ
模型 I II III IV
變數 O LS R SE O LS R SE O LS R SE O LS R SE
(截距) 3.082 3.082 -1.159 -1.159 3.017 3.017 -1.029 -1.029
(1.857) (3.207) (1.083) (1.435) (1.687) (3.465) (0.971) (1.642)
COR 2.303* 2.303** 1.845 1.845** 2.201* 2.201* 1.844* 1.844
(0.946) (0.832) (0.959) (0.709) (0.838) (1.012) (0.871) (0.964)
NOFR 0.093 0.093 0.085 0.085
(0.144) (0.162) (0.146) (0.209)
NOPA 0.443 0.443** 0.602* 0.602* 0.489 0.489* 0.640* 0.640*
(0.286) (0.158) (0.292) (0.293) (0.280) (0.191) (0.289) (0.281)
NOCS 1.236*** 1.236** 1.078*** 1.078** 1.233*** 1.233* 1.127*** 1.127*
(0.282) (0.452) (0.285) (0.367) (0.257) (0.536) (0.268) (0.465)
NOPS -2.092** -2.092** -1.934** -1.934** -1.973** -1.973** -1.745** -1.745**
(0.656) (0.749) (0.680) (0.597) (0.631) (0.710) (0.658) (0.665)
NOFC 0.373 0.373 0.217 0.217
(0.356) (0.221) (0.205) (0.229)
NOPF -0.176 -0.176
(0.201) (0.154)
CUR -0.558** -0.558 -0.536** -0.536
(0.201) (0.325) (0.187) (0.343)
GRW 0.399 0.399 0.230 0.230 0.359 0.359 0.245 0.245
(0.202) (0.323) (0.195) (0.379) (0.189) (0.323) (0.194) (0.399)
LEV 0.085*** 0.085*** 0.099*** 0.099*** 0.083*** 0.083*** 0.103*** 0.103***
(0.017) (0.018) (0.016) (0.017) (0.016) (0.013) (0.015) (0.013)
NOE -0.802*** -0.802** -0.534*** -0.534*** -0.769*** -0.769*** -0.534*** -0.534***
(0.148) (0.248) (0.114) (0.130) (0.136) (0.225) (0.114) (0.124)
RDE 27.029*** 27.029*** 25.640*** 25.640*** 27.277*** 27.277*** 26.279*** 26.279***
(1.569) (3.380) (1.547) (3.273) (1.408) (2.929) (1.433) (2.988)
ROA 21.327*** 21.327*** 20.446*** 20.446*** 21.293*** 21.293*** 20.605*** 20.605***
(1.594) (3.617) (1.621) (3.996) (1.530) (3.350) (1.588) (4.066)
觀察樣本數 79
2
R /調整 R 2 0.923 / 0.907 0.913 / 0.899 0.921 / 0.909 0.911 / 0.900
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