By using a multiple regression model, this longitudinal study analyzes the methods and results of the factors which influence water consumption in Oklahoma City and Tulsa, Oklahoma during the 20‐year period of 1961 through 1980. The explanatory variables utilized in the model include the average price of water per thousand liters ( X 1 ); constant per capita income ( X 2 ); average monthly precipitation measured in millimeters ( X 3 ); average monthly temperatures in °C( X 4 ); and number of households per thousand population ( X 5 ). The results indicate that average price and per capita income were predictive variables for Oklahoma City's water demand, while only per capita income was found to be a predictor for consumption in Tulsa.
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Cochran et al. (1985) studied this question.
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