Uploaded by mohomadrinas2002

A

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Correlation
Correlations
Renewable
Data center efficiency
Data center
energy
E-waste
Environmental
efficiency
adoption
recycling
Impact
.794**
.795**
.791**
.000
.000
.000
20000
20000
20000
20000
.794**
1
.794**
.794**
.000
.000
Pearson Correlation
1
Sig. (2-tailed)
N
Renewable energy
Pearson Correlation
adoption
Sig. (2-tailed)
.000
N
E-waste recycling
Pearson Correlation
20000
20000
20000
20000
.795**
.794**
1
.798**
.000
.000
20000
20000
20000
20000
.791**
.794**
.798**
1
.000
.000
.000
20000
20000
20000
Sig. (2-tailed)
N
Environmental Impact
Pearson Correlation
Sig. (2-tailed)
N
**. Correlation is significant at the 0.01 level (2-tailed).
Regression
R01
Model Summary
Model
1
R
.855a
R Square
.731
Adjusted R
Std. Error of the
Square
Estimate
.731
a. Predictors: (Constant), E-waste recycling, Renewable energy
adoption, Data center efficiency
.736
.000
20000
ANOVAa
Model
1
Sum of Squares
df
Mean Square
Regression
29502.227
3
9834.076
Residual
10834.302
19996
.542
Total
40336.530
19999
F
Sig.
18149.963
.000b
a. Dependent Variable: Environmental Impact
b. Predictors: (Constant), E-waste recycling, Renewable energy adoption, Data center efficiency
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.244
.013
Data center efficiency
.290
.007
Renewable energy adoption
.305
E-waste recycling
.325
Coefficients
Beta
t
18.904
.000
.290
43.090
.000
.007
.306
45.416
.000
.007
.325
48.228
.000
a. Dependent Variable: Environmental Impact
R02
Model Summary
Model
R
.791a
1
R Square
Adjusted R
Std. Error of the
Square
Estimate
.626
.626
.869
a. Predictors: (Constant), Data center efficiency
ANOVAa
Model
1
Sum of Squares
df
Mean Square
Regression
25241.512
1
25241.512
Residual
15095.017
19998
.755
Total
40336.530
19999
a. Dependent Variable: Environmental Impact
Sig.
F
33440.158
Sig.
.000b
b. Predictors: (Constant), Data center efficiency
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Coefficients
Std. Error
(Constant)
.632
.014
Data center efficiency
.792
.004
Beta
t
.791
Sig.
44.197
.000
182.867
.000
a. Dependent Variable: Environmental Impact
R03
Model Summary
Model
R
.794a
1
R Square
Adjusted R
Std. Error of the
Square
Estimate
.631
.631
.863
a. Predictors: (Constant), Renewable energy adoption
ANOVAa
Model
1
Sum of Squares
df
Mean Square
Regression
25437.082
1
25437.082
Residual
14899.447
19998
.745
Total
40336.530
19999
a. Dependent Variable: Environmental Impact
b. Predictors: (Constant), Renewable energy adoption
F
34141.587
Sig.
.000b
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.625
.014
Renewable energy adoption
.793
.004
Coefficients
Beta
t
.794
43.969
.000
184.774
.000
a. Dependent Variable: Environmental Impact
R04
Model Summary
Model
R
.798a
1
R Square
Adjusted R
Std. Error of the
Square
Estimate
.637
.637
.856
a. Predictors: (Constant), E-waste recycling
ANOVAa
Model
1
Sum of Squares
df
Mean Square
Regression
25694.790
1
25694.790
Residual
14641.740
19998
.732
Total
40336.530
19999
a. Dependent Variable: Environmental Impact
b. Predictors: (Constant), E-waste recycling
F
35094.491
Sig.
Sig.
.000b
Coefficientsa
Standardized
Unstandardized Coefficients
Model
1
B
Std. Error
(Constant)
.605
.014
E-waste recycling
.799
.004
a. Dependent Variable: Environmental Impact
Coefficients
Beta
t
.798
Sig.
42.831
.000
187.335
.000
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