Table 3
Multiple regression models on energy consumption and
energy intensity
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| Model 1 | Model 2 | |||
|---|---|---|---|---|
| Annual energy consumption per household |
Energy intensity per household |
|||
| coefficient | p value Note 1 | coefficient | p value Note 1 | |
| Variable | ||||
| Constant | 59.09 | 0.000 | 0.657 | 0.000 |
| Income (under $40,000) | -1.98 | 0.296 | 0.039 | 0.055 |
| Income ($80,000 and over) | 2.59 | 0.152 | -0.039 | 0.007 |
| Green household | -0.71 | 0.703 | -0.047 | 0.005 |
| Single dwelling | 33.98 | 0.000 | 0.245 | 0.000 |
| Multiple dwelling | -30.77 | 0.000 | -0.225 | 0.000 |
| Own residence | 20.69 | 0.000 | 0.104 | 0.000 |
| Dwelling area exceeding 186 square metres |
31.01 | 0.000 | -0.432 | 0.000 |
| Household size | 5.36 | 0.000 | 0.044 | 0.000 |
| High school graduate | 1.47 | 0.652 | 0.049 | 0.094 |
| College graduate | 3.37 | 0.265 | 0.059 | 0.023 |
| University graduate | -2.80 | 0.335 | -0.015 | 0.573 |
The model tests the hypothesis that the regression
coefficients are significantly different from zero. The p value refers
to the probability that the calculated coefficient is solely due to chance.
A p value near 0 therefore means that the contribution of
the independent variable to the model is statistically significant and is
not based on chance.
Source(s):
Statistics Canada, Households and the Environment Survey, 2007,
special tabulation.
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