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Table 3 Linear regression models explaining logaritmized CPD with each influencing factor separately

From: Explaining and predicting annual electricity demand of enterprises – a case study from Switzerland

  Model 1 Model 2 Model 3 Model 4
(Intercept) 2.36 (0.23) 3.59 (0.13) 3.84 (0.04) 4.28 (0.12)
log(area + 1) 0.24 (0.04)    
opening hours per week   0.01 (0.00)   
combined number of ratings    0.02 (0.00)  
number of facebook visits     0.00 (0.00)
R2 0.02 0.03 0.02 0.08
Adj. R2 0.02 0.03 0.02 0.08
Num. obs. 1810 700 1810 202
RMSE 1.67 1.67 1.67 1.57
  1. p<0.001