1. Multiple Regression for Business
Dr. Ananda Sabil Hussein

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

3. 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)

4. 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 =
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

5. 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

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

7. Non-Heterocedasticity