LAMPIRAN A GAMBAR ALAT-ALAT PENELITIAN
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1 LAMPIRAN A GAMBAR ALAT-ALAT PENELITIAN. Carbon Analyzer ( Type AQ 5000 Pro) 2. Anemometer digital (Type AM 420)
2 3. GPS (Type GPSmap 60CSx) 4. Stopwatch
3 LAMPIRAN B Tabel. Data Penolong Untuk Perhitungan Regresi Linier Sederhana dan Regresi Linier Berganda Untuk Perhitungan Secara Manual No X X 2 Y X 2 X 2 2 Y 2 X Y X 2 Y X X Jumlah Average Tabel 2. Data Penolong Untuk Perhitungan uji F Untuk Perhitungan Secara Manual No X X 2 Y Ŷ Y- Ŷ (Y- Ŷ) Jumlah Average
4 Tabel Konversi ppm Ke µg/nm3 No Konversi ppm Ke µg/nm 3 ppm µg/nm Rumus Konversi ppm Ke µg/nm 3 : mg 3 m = n ( ppm) xbm µ g 3 = Nm n ( ppm) xbm Keterangan : n : jumlah kadar CO dalam ppm BM : Berat Molekul CO (C=2 ; O = 6)
5 Hasil Output Menggunakan SPSS : Hubungan Kadar gas CO terhadap Kecepatan angin Variables Entered/Removed b Variables Variables Entered Removed Method X a. Enter a. All requested variables entered. b. Summary b Adjusted Std. Error of R R Square R Square the Estimate.644 a a. Predictors: (Constant), X b. Regression Residual Total a. Predictors: (Constant), X b. ANOVA b Sum of Squares df Mean Square F Sig a (Constant) X a. Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta t Sig
6 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 Charts a. 0 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Normal P-P Plot of Regression Stand.5 Expected Cum Prob Observed Cum Prob
7 Regression Studentized Deleted (Press) Residual Y Regression Studentized Deleted (Press) Residual
8 Y Regression Studentized Deleted (Press) Residual Y
9 Hasil Output Menggunakan SPSS : Hubungan Kadar gas CO terhadap Suhu Udara Variables Entered/Removed b Variables Entered Variables Removed Method X a. Enter a. All requested variables entered. b. Summary b R R Square Adjusted R Square Std. Error of the Estimate.26 a a. Predictors: (Constant), X b. ANOVA b Sum of Squares df Mean Square F Sig. Regression a Residual Total 2.5 a. Predictors: (Constant), X b. Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta t Sig. (Constant) X a.
10 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 Charts a. 0 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Normal P-P Plot of Regression Stand.5 Expected Cum Prob Observed Cum Prob
11 Regression Studentized Deleted (Press) Residual Y
12 Hasil Output Menggunakan SPSS Untuk Regresi Linier Berganda Variables Entered/Removed b Variables Variables Entered Removed Method X2, X a. Enter a. All requested variables entered. b. Summary b R R Square Adjusted R Square Std. Error of the Estimate.4 a a. Predictors: (Constant), X2, X b. ANOVA b Sum of Squares df Mean Square F Sig. Regression a Residual Total 2.5 a. Predictors: (Constant), X2, X b. Unstandardized Coefficients Coefficients a Standardized Coefficients B Std. Error Beta t Sig. (Constant) X X a.
13 Case Number a. Casewise Diagnostics a Predicted Std. Residual Y Value Residual 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 Charts a. 0 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Normal P-P Plot of Regression Stand.5 Expected Cum Prob Observed Cum Prob
14 Regression Studentized Deleted (Press) Residual Y Y
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