Pengaruh Anggaran Pelatihan dan Anggaran Pengembangan Terhadap Laba Perusahaan dengan Kinerja Karyawan Bagian Penjualan Sebagai Variabel Moderasi Pada Dealer Sepeda Motor di Sumatera Utara

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Lampiran 1

No

Anggaran

Penjualan

Anggaran

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Lampiran 2

Hasil Output SPSS Sebelum Moderasi

Hasil Uji Kolmogorov-Smirnov

One-Sample Kolmogorov-Smirnov Test

X1 X2 Y

N 30 30 30

Normal Parametersa,b Mean 16594400.0000 15759533.3333 472351354.2333

Std. Deviation 6609463.07277 6417033.20500 350937079.39734

Most Extreme Differences

Absolute .161 .153 .209

Positive .131 .104 .209

Negative -.161 -.153 -.126

Kolmogorov-Smirnov Z .883 .837 1.147

Asymp. Sig. (2-tailed) .417 .485 .144

a. Test distribution is Normal.

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Uji Multikolinearitas

Coefficientsa

Model Collinearity Statistics

Tolerance VIF

1

(Constant)

X1 .214 4.674

X2 .214 4.674

a. Dependent Variable: Y

Hasil Uji Durbin-Watson

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Goodness of Fit

Model Summaryb

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .741a _.549 _.516 _{244253521.62730}

a. Predictors: (Constant), X2, X1

b. Dependent Variable: Y

Uji Regresi Berganda

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients t Sig.

B Std. Error Beta

1

(Constant) -96000966.435 124357960.115 -.772 .447

X1 -22.009 14.837 -.415 -1.483 .150

X2 59.239 15.282 1.083 3.876 .001

Uji Signifikansi Secara Simultan (Uji F)

ANOVAa

Model Sum of Squares Df Mean Square F Sig.

1

Regression 1960734040843983620.000 2 980367020421991810.000 16.433 .000b

Residual 1610814136338068220.000 27 59659782827335864.000

Total 3571548177182051800.000 29

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Lampiran 3

Hasil Output SPSS Setelah Moderasi

Hasil Uji Kolmogorov-Smirnov

One-Sample Kolmogorov-Smirnov Test

Z

N 30

Normal Parametersa,b Mean 25402565740.9333

Std. Deviation 15094606020.73297

Most Extreme Differences

Absolute .121

Positive .121

Negative -.088

Kolmogorov-Smirnov Z .662

Asymp. Sig. (2-tailed) .773

a. Test distribution is Normal.

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Uji Multikolinearitas

Coefficientsa

Model Collinearity Statistics

Tolerance VIF

1

(Constant)

X1 .195 5.131

X2 .203 4.915

Z .438 2.286

Hasil Uji Durbin-Watson

Model Summaryb

Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson

1 .823a _.678 _.641 _{210333788.97888} _1.676

a. Predictors: (Constant), Z, X2, X1

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Uji Regresi Moderasi

Coefficientsa

B Std. Error Beta

1

(Constant) -50927080.455 107995581.053 -.472 .641

X1 -34.895 13.386 -.657 -2.607 .015

X2 49.603 13.494 .907 3.676 .001

Z .013 .004 .543 3.227 .003

Goodness of Fit

Model Summaryb

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .823a .678 .641 210333788.97888

a. Predictors: (Constant), Z, X2, X1

b. Dependent Variable: Y

Uji Signifikansi Parameter Individual (Uji t)

Coefficientsa

B Std. Error Beta

1

(Constant) 308823979.787 184445034.954 1.674 .106

X1 -13.158 12.669 -.248 -1.039 .309

Z -.003 .010 -.118 -.268 .791

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Uji Signifikansi Parameter Individual (Uji t)

Coefficientsa

B Std. Error Beta

1

(Constant) 245386654.806 147518408.530 1.663 .108

X2 -.762 10.783 -.014 -.071 .944

Z -.011 .007 -.453 -1.530 .138