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In this video tutorial, the presenter discusses performing a sales forecast using regression analysis while accounting for potential seasonal effects. The analysis begins with sales data across specific months: October, January, and April. It is highlighted that data for October reflects the previous quarter (July, August, and September), representing the third quarter. Similarly, January's data pertains to the fourth quarter, covering October, November, and December. The focus is on understanding these timelines to accurately analyze sales numbers for each quarter. The tutorial aims to establish a foundational understanding for capturing seasonal trends in sales forecasting.