PENGOLAHAN DATA PENELITIAN MENGGUNAKAN SPSS “KORELASI DAN REGRESI”

  

PENGOLAHAN DATA PENELITIAN

MENGGUNAKAN SPSS

“KORELASI DAN REGRESI”

  

ƒ Contoh Judul Penelitian: Hubungan Biaya Promosi dan Biaya Distribusi dengan Volume

Penjualan ƒ Variabel bebas:

a. Variabel X1: Biaya Promosi

  b. Variabel X2: Biaya Distribusi ƒ Variabel terikat: Volume Penjualan KORELASI

• Pada halaman DATA VIEW di SPSS, Ketikkan nilai-nilai Variabel X1, X2, dan Y

• Pada kolom Name ketikkan simbol dari variabel (X1, X2, dan Y). Pada kolom Label ketikkan nama variabel (Biaya Promosi, Biaya Distribusi, dan Volume Penjualan)
• Klik menu Analyze, Correllate, Bivariate

• • Pindahkan Biaya Promosi [x1], Biaya Distribusi [x2], dan Volume Penjualan ke kotak

  Variables. Lalu beri tanda centang pada kotak cek di samping Pearson , dan di samping two tailed , lalu klik tombol OK
• Outputnya adalah sebagai berikut:

  Correlations

  Biaya Biaya Volume Promosi Distribusi Penjualan

  Biaya Promosi Pearson Correlatio 1.000 .992** .997**

  Sig. (2-tailed) . .000 .000

  N

  16

  16

  16 Biaya Distribusi Pearson Correlatio .992** 1.000 .999**

  Sig. (2-tailed) .000 . .000

  N

  16

  16

  16 Volume Penjuala Pearson Correlatio .997** .999** 1.000

  Sig. (2-tailed) .000 .000 . N

  16

  16

  16 **. Correlation is significant at the 0.01 level (2-tailed).

  REGRESI

Gunakan data-data yang digunakan pada saat menguji korelasi sebelumnya. Berikut ini

langkah-langkah pengolahan data untuk analisis regresi.

• Klik Analyze, Regression, Linear

• • Pindahkan Biaya Promosi Biaya Promosi [x1] dan Biaya Distribusi [x2] ke kotak

  Independent(s), dan Volume Penjualan ke kotak Dependen. Lalu Klik Statistics

• Akan tampil menu seperti di bawah ini, lalu beri centang (ceklis) pada , , , , , atau centang seluruhnya, klik
• Akan tampil menu semula.Lalu klik

• Akan tampil menu seperti berikut ini. Klik , pindahkan dengan tanda panah ke kotak , dan klik , arahkan dengan tanda panah . Centang dan . Hasilnya akan tampil seperti di bawah ini. Lalu klik
• Akan tampil menu semula. Lalu klik
• Hasil pengolahan akan ditampilkan, seperti gambar-gambar di bawah ini:

  Regression Descriptive Statistics

  1 R Squa djuste Squa . Erro

  . Enter Model

  1 Variables Entered

  Variables Removed Method All requested variables entered.

  a.

  Dependent Variable: Volume Penjualan b.

  

Model Summary

000 a

  000 0001308 000 +08

  2 13 .000 Mo

  Estim Squa hang Chan df1 df2 F Cha Change Statistics

  Biaya Distribusi, Biaya Promosi

  Predictors: (Constant), Biaya Distribusi, B a.

  ANOVA b

  99036 2 518.108 5E+08 .000

  a

  .222 13710E-02 99036

  15 Regres Residua Total

  Mod

  1 Sum of Squares df ean Squa F Sig.

  a

  Variables Entered/Removed b

  .8125 13.2139

  16

  16 .5000 14.1037

  16 .5000 57.9529

  16 Volume Pe Biaya Prom Biaya Dist

  Meand. Deviati N

  Correlations

  1.000 .997 .999 .997 1.000 .992 .999 .992 1.000

  . .000 .000 .000 . .000 .000 .000 .

  16

  16

  Biaya Distribusi

  16

  16

  16

  16

  16

  16 Volume Penjual Biaya Promosi Biaya Distribusi Volume Penjual Biaya Promosi Biaya Distribusi Volume Penjual Biaya Promosi Biaya Distribusi

  Pearson Correlati Sig. (1-tailed) N

  Volume Penj ualan

  Biaya Promosi

  Predictors: (Constant), Biaya Distribusi, Biaya a. Dependent Variable: Volume Penjualan b.

• .992 1.000 626E-07 .49E-07

  Promosi Biaya

  1.00 Dimens

  1

  2

  3 Mode

  1 igenvalue Condition

  Index Constant Biaya

  Distribus Variance Proportions

  43E-02 5.428 .18 .01 .00

  Dependent Variable: Volume Penjualan a.

  Descriptive Statistics

  .8125 13.2139

  16 .5000 14.1037

  16 .5000 57.9529

  16 Volume Pe Biaya Prom Biaya Dist

  40E-03 52.820 .81 .99

  2.901 1.000 .00 .00 .00

  Regression

Coefficients

a

  Dependent Variable: Volume Penjualan a.

  208 195 064307-.214 .630 501 000 353 193 000 .500 .502 997 000045 016 735 999 000 649 034 000 .998 .000 999 000083 016 735

  (Cons Biaya Biaya

  Mo

  1 B d. Er tandardi oefficien

  Beta anda zed effic ts t Sig.er Boer Bo idence Inte ro-ord Partia Part

  Correlations eranVIF earity Sta

  Coefficient Correlations a

  Collinearity Diagnostics

a

  1.000 -.992

  486E-07 380E-07 Biaya Distrib Biaya Promo Biaya Distrib Biaya Promo

  Correlatio Covarianc

  Mode

  1 Biaya Distribusi

  Biaya Promosi

  Dependent Variable: Volume Penjualan a.

  Meand. Deviati N

  Correlations

  Volume Biaya Biaya Penj ualan Promosi Distribusi

  Pearson Correlati Volume Penjual 1.000 .997 .999

  Biaya Promosi .997 1.000 .992 Biaya Distribusi

  .999 .992 1.000 Sig. (1-tailed) Volume Penjual

  . .000 .000 Biaya Promosi .000 . .000 Biaya Distribusi .000 .000 . N Volume Penjual

  16

  16

  16 Biaya Promosi

  16

  16

  16 Biaya Distribusi

  16

  16

  16

  b Variables Entered/Removed

  Variables Variables Model Entered Removed Method

  1 Biaya Distribusi,

  . Enter Biaya

  a

  Promosi a. All requested variables entered.

  b.

  Dependent Variable: Volume Penjualan

  b

Model Summary

  Change Statistics djuste d. Error Squa

  Mo R Squa Squa Estim hang Chang df1 df2 F Cha

  a

  1 .000 .000 .000 1308 .000 E+08

  2 13 .000 a. Predictors: (Constant), Biaya Distribusi, Biaya P b. Dependent Variable: Volume Penjualan

  b ANOVA

  Sum of Mod Squares df ean Squa F Sig.

  a

  1 Regres 99036 2 518.108 5E+08 .000 Residua

  .222 13710E-02 Total 99036

  15 a. Predictors: (Constant), Biaya Distribusi, Biaya b. Dependent Variable: Volume Penjualan

• .992 1.000 626E-07 .49E-07

  2.901 1.000 .00 .00 .00

  14 td. Residua Volume

  3.159 3642.00 Case Num

  Casewise Diagnostics a

  Dependent Variable: Volume Penjualan a.

  Distribus Variance Proportions

  Promosi Biaya

  Index Constant Biaya

  1 igenvalue Condition

  3 Mode

  2

  1

  1.00 Dimens

  40E-03 52.820 .81 .99

  43E-02 5.428 .18 .01 .00

  Collinearity Diagnostics a

  

Coefficients

a

  VIF earity Sta Dependent Variable: Volume Penjualan a.

  208195 064307 .214 .630 501000353193000 .500 .502 997000045016735 999000649034000 .998 .000 999000083016735

  (Cons Biaya Biaya

  Mo

  1 B d. Er tandardi oefficien

  Beta anda zed effic ts t Sig.er Boer Bo idence Inte ro-orartia Part

  Correlations eran

  Coefficient Correlations a

  Dependent Variable: Volume Penjualan a.

  1.000 -.992

  486E-07 380E-07 Biaya Distrib Biaya Promo Biaya Distrib Biaya Promo

  Correlatio Covarianc

  Mode

  1 Biaya Distribusi

  Biaya Promosi

  Penjualan Dependent Variable: Volum a.

• 1.489 1.764 .000 1.000
• .1713 .4131 2.842E-14 .1217
• 1.310 3.159 .000 .931
• 1.459 3.517 .063 1.071
• .2124 .7219 4.492E-02 .2345
• 1.532 15.338 .802 3.916

  8

  1.50

  1.00 .50

  0.00

  Histogram Dependent Variable: Volume Penjualan F requ enc y

  12

  10

  6

  4

  2 Std. Dev = .93 Mean = 0.00 N = 16.00

• 1.50
>.50
• 1.00

  Normal P-P Plot of Regression Standardized Residual Dependent Variable: Volume Penjualan Observed Cum Prob

  1.00 .75 .50 .25

  pe c te d C u m Pr o b

  1.00 .75 .50 .25

  0.00

  2.00

  3.00

  2.50

  16

  Charts Residuals Statistics a

  1089.9690 4385.9683 2598.8125 1013.2139

  16

  16 3.453E-02 .1279 5.247E-02 2.200E-02

  16 1089.9595 4385.2778 2598.7676 1013.1331

  16

  16

  Regression Standardized Residual

  16

  16

  16 .108 13.408 1.875 3.165

  16 .000 9.715 .684 2.421

  16 .007 .894 .125 .211

  16 Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value

  Minimum Maximum Mean Std. Deviation N Dependent Variable: Volume Penjualan a.

0.00 Ex

  Scatterplot Dependent Variable: Volume Penjualan

  4 l a

  3 u id s e

2 R

  d e z ti

  1 n e d tu S ion s s -1 e gr e

• 2

  R

• 2.0 -1.5 -1.0 -.5 0.0 .5

  1.0

  1.5

  2.0 Regression Standardized Predicted Value CARA INTERPRETASI DARI NILAI-NILAI OUTPUT SPSS DI ATAS, SILAHKAN LIHAT ARTIKEL SAYA YANG LAIN