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Read the following description of a data set.\newlineHenry is designing a computer game and isn't sure how many characters to include. To help him decide, he looked at some similar games that were recently released.For each of the games, Henry noted the number of characters, xx, and the number of copies sold, yy.The least squares regression line of this data set is:y=6,631.406x15,438.995y = 6,631.406x - 15,438.995\newlineComplete the following sentence:\newlineFor each additional character, the least squares regression line predicts that a game would sell __\_\_ more copies.

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Q. Read the following description of a data set.\newlineHenry is designing a computer game and isn't sure how many characters to include. To help him decide, he looked at some similar games that were recently released.For each of the games, Henry noted the number of characters, xx, and the number of copies sold, yy.The least squares regression line of this data set is:y=6,631.406x15,438.995y = 6,631.406x - 15,438.995\newlineComplete the following sentence:\newlineFor each additional character, the least squares regression line predicts that a game would sell __\_\_ more copies.
  1. Identify slope of regression line: Identify the slope of the least squares regression line from the given equation y=6,631.406x15,438.995y = 6,631.406x - 15,438.995. The slope is the coefficient of xx, which is 6,631.4066,631.406.
  2. Interpret slope: Interpret the slope. In the context of the problem, the slope of 6,631.4066,631.406 means that for each additional character included in the game, the number of copies sold is predicted to increase by 6,631.4066,631.406.

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