Table 2.

Regression results (family size and composition). Dependent variable = kWh/day.

Explanatory VariablesModelModel 2Model 3
Intercept−10.450  −12.520  −9.491 
(9.622)(9.608)(9.747)
Family size3.390z
(0.474)
# Females5.250z
(0.786)
# Males2.394z
(0.607)
12 or under4.014z
(0.616)
13–240.640
(1.081)
25–601.716
(1.153)
Over 600.847
(1.196)
Living area0.013z0.013z0.013z
(0.001)(0.001)(0.001)
House age0.103y0.108y0.145z
(0.046)(0.046)(0.047)
# floors1.974x2.231y2.099y
(1.066)(1.063)(1.063)
Elec. Cooking−1.172 −1.421 −1.025 
(1.285)(1.283)(1.299)
Elec. H2O heat4.547z4.569z4.007z
(0.979)(0.976)(0.999)
Window AC4.1154.375x5.437y
(2.675)(2.660)(2.727)
Laundry loads/wk1.076z1.085z1.142z
(0.169)(0.168)(0.169)
Second Freezer2.475z2.807z2.945z
(0.959)(0.959)(0.980)
Swimming pool21.010z20.84z21.179z
(1.761)(1.757)(1.763)
Average humidity0.1330.1380.150
(0.127)(0.126)(0.126)
Daytime temp. diff. (mean)2.233z2.224z2.208z
(0.085)(0.085)(0.085)
Percent shade−0.159z −0.163z −0.164z 
(0.029)(0.029)(0.029)
Adj. r2:0.59320.59620.5964
F-statistic:170.3  160.1  140.4  
Nw:1510  1510  1510  
  • zsignificant at 0.01 level

  • ysignificant at 0.05 level

  • xsignificant at 0.10 level

  • wThe total number of observations for five summer months during two years was 1,510. A number of participants, out of 160, reported only one year worth of electricity data because they occupied the house only during the study year. Due to differences in monthly observations between the two years, the total number of observations is 1,510 not 1,600.