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Simple and multiple regression analyses were executed using records of six experiments conducted from 1999 to 2006 at the University of Nebraska Northeast Research and Extension Center. The objective of the study was to obtain the best equation to predict water intake of feedlot steers under summer and winter weather conditions. The analysis permitted regression equations to be obtained for summer, winter and both seasons (overall model). From simple regression analysis, the best predictor of water intake was minimum temperature with r2= 0.61 in the overall model. Whereas, from multiple regression analysis the overall model with the best fit had R2 = 0.70. This model included 4 factors; daily mean minimum temperature, solar radiation, dry matter intake and wind speed.