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Prévision des ventes

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Générez des prévisions de ventes précises basées sur les données historiques pour aider à la gestion des stocks.

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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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Agissez en tant qu'analyste de données senior et, sur la base des enregistrements de ventes des douze derniers mois fournis, des facteurs saisonniers et des activités promotionnelles sur le marché, construisez un modèle de régression linéaire pour prédire les ventes de produits du prochain trimestre. Vous devez identifier les principaux facteurs de réussite, évaluer la marge d'erreur et générer des résultats de prévision incluant des intervalles de confiance, afin que les départements commerciaux puissent élaborer des plans d'approvisionnement en stock plus raisonnables.

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