Regression Analysis: E Regression Analysis: R Regression Analysis: E Regression Analysis: R

149 Lampiran 15. Hasil analisis regresi hubungan aliran permukaan dan erosi dengan curah hujan dan kemiringan lahan di hutan tanaman eucalyptus PT TPL Sektor Aek Nauli

1. Regression Analysis: E

4 versus CH; Slope The regression equation is E 4 = - 1,9313 + 0,3211 CH + 0,1144 Slope Predictor Coef SE Coef T P VIF Constant -1,9313 0,7937 -2,43 0,016 CH 0,32108 0,01348 23,81 0,000 1,0 Slope 0,11437 0,04289 2,67 0,008 1,0 S = 3,829 R-Sq = 76,1 R-Sqadj = 75,9 PRESS = 2769,61 Analysis of Variance Source DF SS MS F P Regression 2 8416,4 4208,2 287,07 0,000 Residual Error 180 2638,6 14,7 Total 182 11055,0 Correlations: E 4 ; CH; Slope E 4 CH CH 0,867 0,000 Slope 0,097 -0,000 0,191 1,000 Cell Contents: Pearson correlation P-Value

2. Regression Analysis: R

4 versus CH; Slope The regression equation is R 4 = 0,1900 + 0,0476 CH + 0,0261 Slope Predictor Coef SE Coef T P VIF Constant 0,1900 0,1571 1,21 0,228 CH 0,047553 0,002669 17,82 0,000 1,0 Slope 0,026102 0,008489 3,07 0,002 1,0 S = 0,7579 R-Sq = 64,5 R-Sqadj = 64,1 PRESS = 107,990 Analysis of Variance Source DF SS MS F P Regression 2 187,750 93,875 163,43 0,000 Residual Error 180 103,395 0,574 Total 182 291,145 Correlations: R 4 ; CH; Slope R 4 CH CH 0,791 0,000 Slope 0,137 -0,000 0,065 1,000 Cell Contents: Pearson correlation P-Value 150 Lampiran 15. Lanjutan

3. Regression Analysis: E

1 versus CH; Slope The regression equation is E 1 = - 48,50 + 5,4591 CH + 2,0557 Slope Predictor Coef SE Coef T P VIF Constant -48,50 11,10 -4,37 0,000 CH 5,4591 0,1884 28,97 0,000 1,0 Slope 2,0557 0,6119 3,36 0,001 1,0 S = 53,43 R-Sq = 83,1 R-Sqadj = 82,9 PRESS = 544270 Analysis of Variance Source DF SS MS F P Regression 2 2455860 1227930 430,16 0,000 Residual Error 175 499548 2855 Total 177 2955408 Correlations: E 1 ; CH; Slope E 1 CH CH 0,906 0,000 Slope 0,143 0,042 0,058 0,575 Cell Contents: Pearson correlation P-Value

4. Regression Analysis: R

1 versus CH; Slope The regression equation is R 1 = 1,0748 + 0,2306 CH + 0,0964 Slope Predictor Coef SE Coef T P VIF Constant 1,0748 0,8056 1,33 0,184 CH 0,23063 0,01368 16,86 0,000 1,0 Slope 0,09636 0,04441 2,17 0,031 1,0 S = 3,878 R-Sq = 62,6 R-Sqadj = 62,2 PRESS = 2814,25 Analysis of Variance Source DF SS MS F P Regression 2 4401,2 2200,6 146,36 0,000 Residual Error 175 2631,1 15,0 Total 177 7032,3 Correlations: R 1 ; CH; Slope R 1 CH CH 0,785 0,000 Slope 0,133 0,042 0,076 0,575 Cell Contents: Pearson correlation P-Value 151 Lampiran 15. Lanjutan

5. Regression Analysis: E versus CH; Slope