Table 3.

Regression results (shade conditions). Dependent variable = kWh/day.

Explanatory VariablesModel 1Model 2Model 3
Intercept−1.543  −3.504  −10.750  
(9.556)(9.575)(9.592)
Family size3.594z3.427z3.620z
(0.463)(0.467)(0.477)
Living area0.013z0.013z0.013z
(0.001)(0.001)(0.001)
House age0.0570.101y0.092y
(0.042)(0.045)(0.047)
# floors1.4161.793x1.828x
(1.042)(1.051)(1.072)
Elec. Cooking−0.912  −0.761  −0.609  
(1.271)(1.270)(1.291)
Elec. H2O heat4.443z4.456z4.177z
(0.969)(0.967)(0.981)
Window AC4.530x4.428x4.648x
(2.642)(2.638)(2.670)
Laundry loads/wk1.009z1.009z1.103z
(0.168)(0.167)(0.168)
Second Freezer2.519z2.602z2.573z
(0.947)(0.946)(0.957)
Swimming pool22.223z21.539z20.470z
(1.719)(1.739)(1.765)
Average humidity0.0130.0370.127
(0.125)(0.126)(0.126)
Daytime temp. diff. (mean)2.155z2.192z2.218z
(0.083)(0.084)(0.085)
Percent shade−0.088y  
(0.036)
Light shade−0.254  0.43  
(1.431)(1.457)
Moderate shade−0.507  1.197
(1.289(1.469)
Heavy shade−9.174z  −6.884z  
(1.356)(1.655)
Late a.m. shade percent0.020
(0.028)
Early p.m. shade percent−0.005  
(0.047)
Late p.m. shade percent−0.117z  
(0.022)
Adj. r2:0.60300.60430.5957
F-statistic:153.8  145.0  149.2  
N:1510  1510  1510  
  • zsignificant at 0.01 level

  • ysignificant at 0.05 level

  • xsignificant at 0.10 level