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多元迴歸的自變數比較與多元共線性之影響:效果量、優勢性與相對權數指標的估計與應用

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模擬資料的相關矩陣與效果量及相對重要性指標摘要表

Case1

自變數獨立

(無共線性)

Case2

自變數相依

(壓抑/重疊效果)

Case3

自變數相依

(增強效果)

DV IV1 IV2 IV3 IV4

DV IV1 IV2 IV3 IV4

DV IV1 IV2 IV3 IV4

母體相關係數

DV

1.00

1.00

1.00

IV1

.600

1.00

.600

1.00

.600

1.00

IV2

.400

.000 1.00

.400

.900 1.00

.400

.000 1.00

IV3

.200

.000 .000 1.00

.200

.400 .400 1.00

.200

.800 .000 1.00

IV4

.000

.000 .000 .000 1.00

.000

.000 .000 .000 1.00

.000

.000 -.500 .000 1.00

相關指數

VIF r

2

r

p

2

r

sp

2

r

s

2

VIF r

2

r

p

2

r

sp

2

r

s

2

VIF r

2

r

p

2

r

sp

2

r

s

2

IV1

1.00 .360 .450 .360 .643 5.32 .360 .360 .301 .778 2.78 .360 .720 .538 .456

IV2

1.00 .160 .267 .160 .286 5.32 .160 .159 .101 .346 1.33 .160 .505 .213 .203

IV3

1.00 .040 .083 .040 .071 1.20 .040 .000 .000 .086 2.78 .040 .510 .218 .051

IV4

1.00 .000 .000 .000 .000 1.00 .000 .000 .000 .000 1.33 .000 .203 .053 .000

Total

.560 .800 .560 1.000

.560 .519 .403 1.210

.560 1.939 1.022 .709

迴歸與相對重要指數

β

β

2

rβ Dg RIW β

β

2

rβ Dg RIW β

β

2

rβ Dg RIW

IV1

.600 .360 .360 .360 .360 1.266 1.602 .759 .325 .319 1.222 1.494 .733 .449 .449

LL

.562

.320 .319 .319 1.178

.689 .292 .287 1.163

.675 .416 .416

UL

.635

.401 .401 .401 1.357

.835 .358 .352 1.278

.792 .478 .479

IV2

.400 .160 .160 .160 .160 -.734 .539 -.294 .125 .125 .533 .284 .213 .187 .187

LL

.359

.126 .126 .126 -.832

-.333 .112 .112 .494

.178 .156 .155

UL

.441

.196 .196 .196 -.632

-.257 .139 .139 .573

.248 .218 .219