Table 3.
Model | R | R square | Adjusted R square | R square change |
---|---|---|---|---|
1 | 0.993a | 0.987 | 0.987 | 0.987 |
2 | 0.999b | 0.997 | 0.997 | 0.010 |
3 | 0.999c | 0.999 | 0.999 | 0.001 |
4 | 1.000d | 0.999 | 0.999 | 0.001 |
5 | 1.000e | 0.999 | 0.999 | 0.000 |
6 | 1.000f | 1.000 | 1.000 | 0.000 |
7 | 1.000g | 1.000 | 1.000 | 0.000 |
8 | 1.000h | 1.000 | 1.000 | 0.000 |
9 | 1.000i | 1.000 | 1.000 | 0.000 |
10 | 1.000j | 1.000 | 1.000 | 0.000 |
11 | 1.000k | 1.000 | 1.000 | 0.000 |
12 | 1.000l | 1.000 | 1.000 | 0.000 |
Statisticaly significant results are marked with bold
aPredictors: (Constant), Consumption_ CO2
bPredictors: (Constant), Consumption_ CO2, Share_of_ CO2
cPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Flaring_ CO2
dPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Flaring_ CO2, Other_industry_ CO2
ePredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Flaring_ CO2, Other_industry_ CO2, Coal_ CO2
fPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Flaring_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2
gPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Flaring_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2
hPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2
iPredictors: (Constant), Consumption_ CO2, Share_of_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2, Cement_ CO2
jPredictors: (Constant), Share_of_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2, Cement_ CO2
kPredictors: (Constant), Share_of_ CO2, Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2, Cement_ CO2, Flaring_ CO2
lPredictors: (Constant), Other_industry_ CO2, Coal_ CO2, Gas_ CO2, Oil_ CO2, Cement_ CO2, Flaring_ CO2