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판매 예측 분석

{:__('collect %s',판매 예측 분석)}

과거 데이터를 기반으로 정확한 판매 예측을 생성하여 재고 관리를 지원합니다.

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Act as a senior data analyst and, based on the provided sales records from the past twelve months, seasonal factors, and market promotional activities, construct a linear regression model to predict next quarter's product sales. You need to identify key drivers, assess the error margin, and output forecast results including confidence intervals, so that business departments can make more reasonable inventory procurement plans.

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시니어 데이터 분석가로서 행동하고, 제공된 지난 12개월간의 판매 기록, 계절적 요인 및 시장 프로모션 활동을 기반으로 다음 분기 제품 판매를 예측하는 선형 회귀 모델을 구축하십시오. 주요 동인 요인을 식별하고 오차 범위를 평가하며, 비즈니스 부서에서 더 합리적인 재고 조달 계획을 수립할 수 있도록 신뢰 구간을 포함한 예측 결과를 출력해야 합니다.

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