Increasing attendance is crucial for the livelihood of ski resorts. With out customers the resorts would not operate. In order to determine the factors that drive attendance in ski resorts it is necessary to use data from previous years to see which variables drive attendance. The approach used to identify the variables involved a dynamic demand function, and an estimation of the effect of these variables using an Ordinary Least Squares regression model. The data used in this study originated from Ski Industries America, and private information obtained from an inside source. The results of the study suggest that there are steps that resorts can take to increase attendance. The most significant variables price, acres, vertical drop, and snowfall. The magnitude of the four aforementioned coefficients is large relative to the others in the model.