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APPENDIX 5 – REGRESSION ANALYSIS<br />

SIGNIFICANT PREDICTORS FOR LEADER BEHAVIOUR DIMENSIONS<br />

FROM LINEAR REGRESSION ANALYSIS<br />

LINEAR REGRESSION RESULTS FOR THE GUANGZHOU SAMPLE: REGRESSION<br />

THROUGH THE ORIGIN<br />

GZ: F1Representation<br />

Model<br />

Unst<strong>and</strong>ardized<br />

Coefficients<br />

B Std. Error Beta<br />

St<strong>and</strong>ardized<br />

Coefficients<br />

339<br />

t Sig.<br />

1 Sec .109 .103 .140 1.057 .292<br />

Conf .308 .104 .378 2.973 .003<br />

Trad .043 .069 .043 .619 .537<br />

Bene .008 .096 .010 .084 .933<br />

Univ -.033 .103 -.041 -.323 .747<br />

SelDir .106 .098 .135 1.081 .281<br />

Stim -.063 .068 -.069 -.939 .349<br />

Hedon .139 .076 .161 1.842 .067<br />

Ach .158 .091 .204 1.742 .083<br />

Pow .006 .077 .007 .077 .938<br />

GZ: F2Dem<strong>and</strong>Reconciliation<br />

Model<br />

Unst<strong>and</strong>ardized<br />

Coefficients<br />

B Std. Error Beta<br />

St<strong>and</strong>ardized<br />

Coefficients<br />

t Sig.<br />

1 Sec .148 .100 .199 1.484 .139<br />

Conf .342 .100 .438 3.406 .001<br />

Trad .017 .067 .018 .252 .801<br />

Bene .036 .093 .048 .384 .701<br />

Univ -.091 .100 -.117 -.909 .364<br />

SelDir .047 .095 .063 .495 .621<br />

Stim -.043 .066 -.048 -.650 .516<br />

Hedon .141 .073 .169 1.915 .057<br />

Ach .202 .088 .273 2.301 .022<br />

Pow -.068 .075 -.078 -.902 .368

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