若學校資料採用人均用水量之四分位距資料來進行模式建構，則呈現出標準型及

若學校資料採用人均用水量之四分位距資料來進行模式建構，則呈現出標準型及適切型模式的解釋能力大幅提升，均為95%左右，而適切型模式的自變數只需兩個，分別是建築物總樓地板面積(平方公尺)及單位人員總數(人)，模式呈現方式相當精簡。

Results (English) 1:

If a school quarterback from data using per capita water consumption data for modeling and shows the standard type and appropriate mode of interpretation capacity has increased significantly, are 95%, and proper mode of argument only two, namely the gross floor area (square meter) and total number of units (), mode rendering is quite streamlined.

Results (English) 2:

If schools per capita water consumption data using the interquartile range data for model construction, showing the ability to explain the standard and appropriate schema increased dramatically, both about 95% while independent variables appropriate schema of only two They are building a total floor area (square meters) and the total number of unit personnel (human), model presentation pretty streamlined.

Results (English) 3:

If schools use information per capita water 4 of the Sub at a distance of information for mode building showed marked standards type and appropriate the explanation model-capacity increased dramatically, are 95 per cent, with appropriate type model 只 since variables to two å property is to set up total floor area (square meters) and total units (people) mode presentation considerable streamlining.