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In this video tutorial, the presenter explains how to conduct a sales forecast using regression analysis while accounting for seasonal effects. The discussion begins by examining the provided date data for October, January, and April. The presenter highlights that the data reported in October reflects sales from the previous third quarter (July, August, September) and that the January report pertains to the fourth quarter (October, November, December). Emphasizing the importance of identifying the quarters, the tutorial sets the stage for further analysis of sales numbers across these periods. The focus is on understanding how seasonal trends may influence sales forecasts.