A number of interactions among beach variables are investigated by sequential linear multiregression analysis, as programmed for highspeed computers. The study includes the influence of beach geometry, wave characteristics, tidal effects, and local wind conditions on the velocity of longshore currents, deposition and erosion on the lower foreshore, and the response of grain size and beach slope to shore processes. Results show that if about six variables are segregated out of any group of about a dozen, these six account for essentially all of the variability that is explained by all twelve. Thus, the regression method serves to condense relatively large data matrices to more compact form. The most-influential combinations of variables arbitrarily designated as "process" variables are in general agreement with significant variables of wave-tank experimentation, and substantiate intuitive judgments regarding the relative importance of these variables on natural beaches. The results suggest that certain additional variables, seldom examined under controlled conditions, be studied in combination with variables normally examined in wave tanks. The combination of six variables found to be most influential in the determination of longshore-current velocity in the study area is made up of wave period, wave height, lower-foreshore slope, wind velocity onshore, wind velocity offshore, and angle of wave approach, in order of decreasing importance. The significance of wind velocity on and offshore is believed to lie mainly in the ability of the wind to alter the form of incoming swells. A special regression analysis for quadratic effects reveals that water density is highly non-linear in its effect on longshore-current velocity. Bottom slope in the shoaling-wave zone, some 250 feet seaward of the breakers, is found to be controlled primarily by average mean grain size of the bottom materials, wave period, wave length, wave steepness, water depth, and tidal-current velocity. This combination exerts its