Multiple Regression for Business

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Presentation transcript:

Multiple Regression for Business Dr. Ananda Sabil Hussein

Regression Y = a + b1X1 + e Y = dependent variable A = constant X = independent variabel E = residual

Multiple regression Y = a + b1X1 + b2X2 + b3X3 + e Equation should Best Linear Unbiased Estimate (BLUE) Normality Heterocedasticity Non-Multicolinearity Non-Autocorrelation (for data time series)

Unstandardized Coefficient Variabel Βeta thitung Sig. Keterangan Unstandardized Coefficient X1 0.077 1.281 0.203 Tidak Signifikan X2 0.522 4.760 0.000 Signifikan R = 0,560 R square = 0,314 Koefisien Determinasi (Adj.R2) = 0,300 F-Hitung = 22.166 F-Tabel = 3.09 Sig.F = 0.000 t- tabel = 1,985 α = 0,05 n =100 Persamaan regresi = (3.512)+0,077X1 + 0,522X2 [AH1]Ini kok angka d tabelnya ga ada ya?? Ini tabel standardized ya??? Coba buat tabel yang standardized

Normality Test Variabel Kolmogorov – Smirnov Z Asymp. Sig. (2-tailed) X1 1.241 0.092 X2 0.912 0.376 Y 0.944 0.334

Non Multikolinearitas Non-Multicolinear Variabel Independen Tolerance VIF Keterangan X1 0.129 3.108 Non Multikolinearitas X2 0.435 2.400

Non-Heterocedasticity