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A clothing store has been tracking its sales data for the first five months of the year. They have collected data on the number of items sold, the average price per item, and the total revenue generated each month. They are required to analyze their sales data to identify any trends or patterns and improve their sales strategy. Here is a sample data table: Month Number of Items Sold Average Price per Item Total RevenueJan 500 $25.00 $12,500Feb 450 $30.00 $13,500Mar 550 $27.00 $15,125Apr 600 $26.50 $15,900May 700 $24.00 $16,800 Which data analytic technique would be most appropriate to identify any trends or patterns in the clothing store's sales data?

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