Produk dan Penggunaan Tenaga Kerja 2006 (1)
Produk dan Penggunaan Tenaga Kerja 2006
No.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Bulan
Januari
Februari
Maret
April
Mey
Juni
Juli
Agustus
September
Oktober
November
Desember
Q (Ton)
8000
7500
8500
10000
8500
9000
10500
9500
11000
12500
11500
12000
L (Jam Kerja)
2700
2600
2750
3025
2725
2850
3150
2950
3325
4175
3550
3900
Produk dan Penggunaan Tenaga Kerja 2007
No.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Bulan
Januari
Februari
Maret
April
Mey
Juni
Juli
Agustus
September
Oktober
November
Desember
Q (Ton)
9600
9000
10200
12000
10200
10800
12600
11400
13200
15000
13800
14400
L (Jam Kerja)
2700
2600
2750
3025
2725
2850
3150
2910
3325
4175
3550
3900
LnQ
LnL
2006
Variable
Coefficient
LnL
1.0497
Constant (Intercept)
0,7441
2006
Standard Error
0.0958
LnQ
= 0.7441 + 1.0497 LnL
Q
=
Q
= (2.71828)0.7441 L(1.0497)
Q
= 2.1045 L1.0497 2006
AL (0.10497 )
Regression
Descriptive Statistics
Mean
Std. Deviation
N
Q
9875.00
1639.360
12
L
3141.67
503.999
12
Correlations
Q
Pearson Correlation
Sig. (1-tailed)
N
L
Q
1.000
.961
L
.961
1.000
Q
.
.000
L
.000
.
Q
12
12
L
12
12
Variables Entered/Removedb
Variables
Model
Variables Entered
1
La
a. All requested variables entered.
b. Dependent Variable: Q
Removed
Method
. Enter
Model Summaryb
Std. Error of the
Model
R
R Square
.961a
1
Adjusted R Square
.924
Estimate
.917
473.276
a. Predictors: (Constant), L
b. Dependent Variable: Q
ANOVAb
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
F
2.732E7
1
2.732E7
2239897.107
10
223989.711
2.956E7
11
Sig.
.000a
121.982
a. Predictors: (Constant), L
b. Dependent Variable: Q
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
L
Coefficients
Std. Error
Beta
50.850
899.935
3.127
.283
95% Confidence Interval for B
t
.961
Sig.
Lower Bound
.057
.956
-1954.331
2056.031
11.045
.000
2.496
3.758
a. Dependent Variable: Q
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
8181.18
13106.29
9875.00
1576.031
12
-681.181
598.941
.000
451.250
12
Std. Predicted Value
-1.075
2.050
.000
1.000
12
Std. Residual
-1.439
1.266
.000
.953
12
Residual
a. Dependent Variable: Q
Upper Bound
Charts
LnQ
LnL
2007
Variable
Coefficient
LnL
1.0497
Constant (Intercept)
0.9264
Standard Error
0.0958
2007
LnQ
= 0.9264 + 1.0497 LnL
Q
=
Q
= (2.71828)0.9264 L(1.0497)
Q
= 2.5254 L1.04972007
AL (0.10497 )
Regression
Descriptive Statistics
Mean
Std. Deviation
N
Q
1.18E4
1967.232
12
L
3138.33
505.512
12
Correlations
Q
Pearson Correlation
Sig. (1-tailed)
N
L
Q
1.000
.960
L
.960
1.000
Q
.
.000
L
.000
.
Q
12
12
L
12
12
Variables Entered/Removedb
Variables
Model
Variables Entered
1
La
Removed
Method
. Enter
a. All requested variables entered.
b. Dependent Variable: Q
Model Summaryb
Std. Error of the
Model
R
R Square
.960a
1
Adjusted R Square
.922
Estimate
.914
576.732
a. Predictors: (Constant), L
b. Dependent Variable: Q
ANOVAb
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
F
3.924E7
1
3.924E7
3326201.663
10
332620.166
4.257E7
11
Sig.
.000a
117.984
a. Predictors: (Constant), L
b. Dependent Variable: Q
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
L
a. Dependent Variable: Q
Std. Error
123.815
1092.319
3.736
.344
Coefficients
Beta
95% Confidence Interval for B
t
.960
Sig.
Lower Bound
Upper Bound
.113
.912
-2310.024
2557.654
10.862
.000
2.970
4.503
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
9838.55
15723.44
1.18E4
1888.814
12
-838.551
706.408
.000
549.893
12
Std. Predicted Value
-1.065
2.051
.000
1.000
12
Std. Residual
-1.454
1.225
.000
.953
12
Residual
a. Dependent Variable: Q
Charts
“EKONOMI PERTANIAN”
Disusun oleh :
Muhammad Arif Faisal
01121002051
Dosen Pengasuh :
Prof. Dr. Taufiq Marwa M.Si
Muhammad Subardin SE.M.Si
EKONOMI PEMBANGUNAN
FAKULTAS EKONOMI
UNIVERSITAS SRIWIJAYA
2013/2014
No.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Bulan
Januari
Februari
Maret
April
Mey
Juni
Juli
Agustus
September
Oktober
November
Desember
Q (Ton)
8000
7500
8500
10000
8500
9000
10500
9500
11000
12500
11500
12000
L (Jam Kerja)
2700
2600
2750
3025
2725
2850
3150
2950
3325
4175
3550
3900
Produk dan Penggunaan Tenaga Kerja 2007
No.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Bulan
Januari
Februari
Maret
April
Mey
Juni
Juli
Agustus
September
Oktober
November
Desember
Q (Ton)
9600
9000
10200
12000
10200
10800
12600
11400
13200
15000
13800
14400
L (Jam Kerja)
2700
2600
2750
3025
2725
2850
3150
2910
3325
4175
3550
3900
LnQ
LnL
2006
Variable
Coefficient
LnL
1.0497
Constant (Intercept)
0,7441
2006
Standard Error
0.0958
LnQ
= 0.7441 + 1.0497 LnL
Q
=
Q
= (2.71828)0.7441 L(1.0497)
Q
= 2.1045 L1.0497 2006
AL (0.10497 )
Regression
Descriptive Statistics
Mean
Std. Deviation
N
Q
9875.00
1639.360
12
L
3141.67
503.999
12
Correlations
Q
Pearson Correlation
Sig. (1-tailed)
N
L
Q
1.000
.961
L
.961
1.000
Q
.
.000
L
.000
.
Q
12
12
L
12
12
Variables Entered/Removedb
Variables
Model
Variables Entered
1
La
a. All requested variables entered.
b. Dependent Variable: Q
Removed
Method
. Enter
Model Summaryb
Std. Error of the
Model
R
R Square
.961a
1
Adjusted R Square
.924
Estimate
.917
473.276
a. Predictors: (Constant), L
b. Dependent Variable: Q
ANOVAb
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
F
2.732E7
1
2.732E7
2239897.107
10
223989.711
2.956E7
11
Sig.
.000a
121.982
a. Predictors: (Constant), L
b. Dependent Variable: Q
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
L
Coefficients
Std. Error
Beta
50.850
899.935
3.127
.283
95% Confidence Interval for B
t
.961
Sig.
Lower Bound
.057
.956
-1954.331
2056.031
11.045
.000
2.496
3.758
a. Dependent Variable: Q
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
8181.18
13106.29
9875.00
1576.031
12
-681.181
598.941
.000
451.250
12
Std. Predicted Value
-1.075
2.050
.000
1.000
12
Std. Residual
-1.439
1.266
.000
.953
12
Residual
a. Dependent Variable: Q
Upper Bound
Charts
LnQ
LnL
2007
Variable
Coefficient
LnL
1.0497
Constant (Intercept)
0.9264
Standard Error
0.0958
2007
LnQ
= 0.9264 + 1.0497 LnL
Q
=
Q
= (2.71828)0.9264 L(1.0497)
Q
= 2.5254 L1.04972007
AL (0.10497 )
Regression
Descriptive Statistics
Mean
Std. Deviation
N
Q
1.18E4
1967.232
12
L
3138.33
505.512
12
Correlations
Q
Pearson Correlation
Sig. (1-tailed)
N
L
Q
1.000
.960
L
.960
1.000
Q
.
.000
L
.000
.
Q
12
12
L
12
12
Variables Entered/Removedb
Variables
Model
Variables Entered
1
La
Removed
Method
. Enter
a. All requested variables entered.
b. Dependent Variable: Q
Model Summaryb
Std. Error of the
Model
R
R Square
.960a
1
Adjusted R Square
.922
Estimate
.914
576.732
a. Predictors: (Constant), L
b. Dependent Variable: Q
ANOVAb
Model
1
Sum of Squares
Regression
Residual
Total
df
Mean Square
F
3.924E7
1
3.924E7
3326201.663
10
332620.166
4.257E7
11
Sig.
.000a
117.984
a. Predictors: (Constant), L
b. Dependent Variable: Q
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
(Constant)
L
a. Dependent Variable: Q
Std. Error
123.815
1092.319
3.736
.344
Coefficients
Beta
95% Confidence Interval for B
t
.960
Sig.
Lower Bound
Upper Bound
.113
.912
-2310.024
2557.654
10.862
.000
2.970
4.503
Residuals Statisticsa
Minimum
Predicted Value
Maximum
Mean
Std. Deviation
N
9838.55
15723.44
1.18E4
1888.814
12
-838.551
706.408
.000
549.893
12
Std. Predicted Value
-1.065
2.051
.000
1.000
12
Std. Residual
-1.454
1.225
.000
.953
12
Residual
a. Dependent Variable: Q
Charts
“EKONOMI PERTANIAN”
Disusun oleh :
Muhammad Arif Faisal
01121002051
Dosen Pengasuh :
Prof. Dr. Taufiq Marwa M.Si
Muhammad Subardin SE.M.Si
EKONOMI PEMBANGUNAN
FAKULTAS EKONOMI
UNIVERSITAS SRIWIJAYA
2013/2014