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national multiple family submetering and allocation billing program ...

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40<br />

Difference in Annual Water Use<br />

per Unit Compared to In-Rent (kgal)<br />

30<br />

20<br />

10<br />

0<br />

-10<br />

-20<br />

-30<br />

-10.05<br />

-1.71<br />

-40<br />

Submetered<br />

N=79<br />

RUBS<br />

N=136<br />

Figure 5.15 Difference in adjusted average annual water use of impacted properties<br />

compared to in-rent properties – Model #3<br />

Table 5.19 Model #3 coefficients <strong>and</strong> significance of independent variables<br />

Independent Variable B* Std. Error t P-value<br />

(Constant) 27.37 5.15 5.315 .000<br />

Property was built before 1995 11.40 2.55 4.470 .000<br />

Property is a senior citizen/retirement<br />

community<br />

-8.37 3.30 -2.539 .011<br />

Property has a play area 6.54 2.13 3.064 .002<br />

Property has a cooling tower 9.85 4.11 2.397 .017<br />

Property is billed through RUBS method -1.71 2.09 -0.817 .414<br />

Property is submetered -10.05 2.79 -3.604 .000<br />

Average commodity charge for<br />

water/wastewater † -1.76 0.32 -5.489 .000<br />

Average number of bedrooms per unit † 18.18 1.86 9.753 .000<br />

Average rent per bedroom † -0.006 .004 -1.598 .111<br />

Dependent Variable: Indoor water use per unit (average 2001, 2002)<br />

* Represents the magnitude of each independent variable in kgal per year per dwelling unit<br />

†<br />

Continuous variables, change is seen for every dollar or bedroom added<br />

Besides <strong>submetering</strong>, five other independent variables in the model were also statistically<br />

significant. One that was not statistically significant was the average rent per bedroom at a<br />

property. It was found to covary with location, which is accounted for in the model with average<br />

165

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