DAFTAR PUSTAKA. Anonim, Statistik DIY Dalam Angka, Berbagai edisi, BPS, Jogjakarta.

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1 DAFTAR PUSTAKA Anonim, Statistik DIY Dalam Angka, Berbagai edisi, BPS, Jogjakarta. Anonim, Laporan tahunan Bank Indonesia, Berbagai edisi, Bank Indonesia, Jogjakarta. Anonim, Indikator Ekonomi, Berbagai edisi, BPS, Jogjakarta. Sadono Sukirno, 996, Pengantar Teori Makroekonomi, Edisi Kedua. PT. RajaGrafindo Persada, Jakarta. Bush, Dorn Rudiger, Stanley Fishcer Terjemahan Mulyadi, Makroekonomics, Erlangga. Jakarta. Gujarati, Damodar. 997, Ekonometrika Dasar, Erlangga. Jakarta. Boediono, 992, Ekonomi Makro, BPFE, Jogjakarta. Boediono, 2000, Ekonomi Makro, BPFE, Jogjakarta. Dumairi Perekonomian Indonesia. Penerbit Erlangga, Jakarta. Gujarati, Damodar, 999. Essential of Ekonometrics, Second Edition, Mc. Graw-Hill, New York , Basic Econometrics, Fourth Edition, Mc. Graw-Hill, New York, USA. Krugman, Paul R. And Maurice Obstfeld, 999. Ekonomi Internasional : Teori dan Kebijakan Edisi Kedua, Alih bahasa oleh Haris Munandar dan Faisal Basri. Raja Grafindo Persada : Jakarta. Mudrajat Kuncoro, 200. Metode Kuantitatif, UUP YKPN Jogjakarta. Nopirin, Ph.D, ekonomi moneter buku I, 997, BPFE; Jogjakarta , ekonomi moneter buku II, BPFE; Jogjakarta. Salvatore, Dominick, 997. Ekonomi Internasional, alih bahasa Haris Munandar, Erlangga, Jakarta.

2 Tri Hapsari, Analisis Faktor-Faktor Yang Mempengaruhi Investasi Sektor Properti di Jawa Tengah ( ), Skripsi, UMY, Yogyakarta Edi Saputra, 200. Analisis Pengaruh Tingkat Suku Bunga Deposito, Kurs, Tingkat Inflasi, Tingkat Suku Bunga Libor Terhadap Investasi di Indonesia Tahun , Skipsi, UMS, Surakarta.

3 Data NO TAHUN Y X Y = Investasi Sektor Properti (dalam juta Rupiah) X = Tingkat Inflasi (dalam persen) = Tingkat Suku Bunga (dalam persen) = Produk Domestik Regional Bruto (dalam Juta Rupiah) = Indek Harga Bahan Bangunan (dalam persen) = Indek Harga Pekerja Bangunan (dalam persen)

4 Regresi Lengkap Variables Entered/Removed b Variables Variables Entered Removed Method, X,,, a. Enter a. All requested variables entered. b. Dependent Variable: Y Summary b Adjusted Std. Error of R R Square R Square the Estimate Durbin-Watson.837 a a. Predictors: (Constant),, X,,, b. Dependent Variable: Y Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig..2E E a 5.2E E+.7E+3 22 a. Predictors: (Constant),, X,,, b. Dependent Variable: Y (Constant) X a. Dependent Variable: Y Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E

5 Coefficient Correlations a Correlations Covariances X X a. Dependent Variable: Y X E E E E+07-9.E E E+08-9.E E E-05 Collinearity Diagnostics a Dimension a. Dependent Variable: Y Condition Variance Proportions Eigenvalue Index (Constant) X E E E Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: Y

6 Uji Multikolinieritas: Uji Klein Variables Entered/Removed b Variables Variables Entered Removed Method,,, a. Enter a. All requested variables entered. b. Dependent Variable: X Summary Adjusted Std. Error of R R Square R Square the Estimate.79 a a. Predictors: (Constant),,,, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig a a. Predictors: (Constant),,,, b. Dependent Variable: X (Constant) a. Dependent Variable: X Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E E E

7 Coefficient Correlations a Correlations Covariances a. Dependent Variable: X E E E-0.702E E E E E E E E E E E E- Collinearity Diagnostics a Dimension a. Dependent Variable: X Condition Variance Proportions Eigenvalue Index (Constant) E E E Uji Multikolinieritas: Uji Klein 2 Variables Entered/Removed b Variables Variables Entered Removed Method X,,, a. Enter a. All requested variables entered. b. Dependent Variable: Summary Adjusted Std. Error of R R Square R Square the Estimate.89 a a. Predictors: (Constant), X,,,

8 Regression Residual Total ANOVA b Sum of Mean Squares df Square F Sig a a. Predictors: (Constant), X,,, b. Dependent Variable: (Constant) X a. Dependent Variable: Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E E E E Coefficient Correlations a Correlations Covariances X X a. Dependent Variable: X E-0 -.7E-05.88E E- -.7E E E E-0.88E E-06.26E E- 3.5E- -.66E E- 3.53E-6 Collinearity Diagnostics a Dimension a. Dependent Variable: Condition Variance Proportions Eigenvalue Index (Constant) X E E

9 Uji Multikolinieritas: Uji Klein 3 Variables Entered/Removed b Variables Variables Entered Removed Method,, X, a. Enter a. All requested variables entered. b. Dependent Variable: Summary Adjusted Std. Error of R R Square R Square the Estimate.967 a a. Predictors: (Constant),,, X, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig. 7.63E+6.907E a 5.25E E+ 8.5E+6 22 a. Predictors: (Constant),,, X, b. Dependent Variable: (Constant) X a. Dependent Variable: Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E

10 Coefficient Correlations a Correlations Covariances X X a. Dependent Variable: X E+2 -.6E+0-8.6E+ -9.0E+0 -.6E+0.5E+09.E+09.E E+.E+09.7E+ 8.5E E+0.E E E+09 Collinearity Diagnostics a Dimension a. Dependent Variable: Condition Variance Proportions Eigenvalue Index (Constant) X E E Uji Multikolinieritas: Uji Klein Variables Entered/Removed b Variables Variables Entered Removed Method, X,, a. Enter a. All requested variables entered. b. Dependent Variable: Summary Adjusted Std. Error of R R Square R Square the Estimate.96 a a. Predictors: (Constant),, X,,

11 Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig a a. Predictors: (Constant),, X,, b. Dependent Variable: (Constant) X a. Dependent Variable: Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E E Coefficient Correlations a Correlations Covariances X X a. Dependent Variable: X E E E E E E E-08.82E E E E E Collinearity Diagnostics a Dimension a. Dependent Variable: Condition Variance Proportions Eigenvalue Index (Constant) X E E

12 Uji Multikolinieritas: Uji Klein 5 Variables Entered/Removed b Variables Variables Entered Removed Method, X,, a. Enter a. All requested variables entered. b. Dependent Variable: Summary Adjusted Std. Error of R R Square R Square the Estimate.800 a a. Predictors: (Constant),, X,, Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig a a. Predictors: (Constant),, X,, b. Dependent Variable: (Constant) X a. Dependent Variable: Unstandardized a Standardized Collinearity Statistics B Std. Error Beta t Sig. Tolerance VIF E

13 Correlations Covariances X X a. Dependent Variable: Coefficient Correlations a X E E E E E E-06.8E-2 Collinearity Diagnostics a Dimension a. Dependent Variable: Condition Variance Proportions Eigenvalue Index (Constant) X E E

14 Uji Heteroskedastisitas: Uji Rank Spearman Correlations Spearman's rho ABSRES Correlation Coefficient ABSRES X *.532**.572** X Sig. (2-tailed) N Correlation Coefficient Sig. (2-tailed) N Correlation Coefficient * **.728** -.577** Sig. (2-tailed) N Correlation Coefficient ** ** ** -.80** Sig. (2-tailed) N Correlation Coefficient ** **.989** ** Sig. (2-tailed) N Correlation Coefficient ** -.80** -.79**.000 Sig. (2-tailed) N *. Correlation is significant at the.05 level (2-tailed). **. Correlation is significant at the.0 level (2-tailed).

15 Durbin Watson d Autocorrelation Test d = d Durbin Watson =.396 N = Jumlah observasi = 23 k = Jumlah variabel penjelas tidak termasuk konstanta = 5 Nilai kritis d pada tingkat significance 5 persen adalah : d L = 0,895 f (d) d U =,920 Menolak Ho Bukti autokorelasi positif Daerah tidak ada keputusan Daerah tidak ada keputusan Menolak Ho* Bukti autokorelasi negatif Menerima Ho atau Ho* atau kedua-duanya 0 d L d U 2 - d U d L d f (d) Menolak Ho Bukti autokorelasi positif Daerah tidak ada keputusan Daerah tidak ada keputusan Menolak Ho* Bukti autokorelasi negatif Menerima Ho atau Ho* atau kedua-duanya 0 0,895, d.396 Keterangan: Ho : Tidak ada autokorelasi positif Ho* : Tidak ada autokorelasi negatif