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“goose egg,” with no discernible relationship or pattern between the predicted <strong>and</strong> residual<br />

values.<br />

Adjusted means of the dependent variable can be calculated for subgroups of one of the<br />

independent variables, e.g., average annual water use per unit by <strong>billing</strong> method, adjusted for the<br />

other variables included in the model. This was done by applying the average values across the<br />

entire sample for each of the independent variables.<br />

Matched pair <strong>and</strong> pre-post analyses. A dependent t-test is used to compare the mean<br />

difference score between paired measurements, as in a repeated measures (like the pre- <strong>and</strong> postconversion<br />

analysis) or matched pair design. Like an independent t-test, a p-value is calculated.<br />

SUPPLEMENTAL DATA COLLECTION<br />

Supplemental data were used to provide additional information about each study site,<br />

utility, <strong>and</strong> various others affected by separate <strong>billing</strong>. Some of these data were used in the<br />

model estimation process <strong>and</strong> to qualify end use measurements.<br />

Weather Data<br />

So that the relationship between weather <strong>and</strong> water use could be explored during the data<br />

analysis <strong>and</strong> the water use model development, weather data was obtained for each study site.<br />

Average seasonal temperatures <strong>and</strong> measured precipitation were obtained from a representative<br />

weather station at each participating study site. The data was available over the Internet. If a<br />

study site did not have a weather station (as was the case for Irvine, CA <strong>and</strong> EBMUD, CA),<br />

geographically similar locations were used as representative stations.<br />

Utility Water <strong>and</strong> Wastewater Rates<br />

Water <strong>and</strong> wastewater rates were collected for each participating utility. In addition,<br />

information on rate structures was obtained. Many of these data were available over the Internet<br />

<strong>and</strong> were supplemented by utility personnel.<br />

Survey of Potential Regulators<br />

The Study included a survey that was sent to potential regulators across the nation to find<br />

out how they are addressing <strong>submetering</strong> <strong>and</strong> <strong>allocation</strong> issues. The survey was sent to:<br />

State safe drinking water administrators<br />

60

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