This paper describes the findings of research program to develop and validate a model for predicting seasonal variations in skid resistance. The model was developed by obtaining frequent skid-resistance measurements in several geographical areas in the United States and from purely statistical consideration. To apply the model, the user should select the set of coefficient values that pertains to the pavement type and geographical area of interest. The model was applied for predicting the skid resistance on a particular day and for predicting the level of skid resistance at the end of the year. Based on these results, it is concluded that the developed generalized model is effective predictor model for predicting seasonally adjusted values of skid resistance.