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Read the following description of a data set.\newlineLucy is a professional dancer booked for a major event. Although she has a rigorous practice schedule, she sometimes has to end a practice session when she begins to experience stiffness. She wonders if stretching more before starting a session will allow her to practice for a longer time.Over the next few days Lucy varies the number of minutes she stretches before the start of her session, xx, and notes the number of minutes she can practice before experiencing stiffness, yy.The least squares regression line of this data set is:y=0.549x+295.628y = 0.549x + 295.628\newlineComplete the following sentence:\newlineFor each additional minute of stretching, the least squares regression line predicts she will be able to practice _\_ minutes longer.

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Q. Read the following description of a data set.\newlineLucy is a professional dancer booked for a major event. Although she has a rigorous practice schedule, she sometimes has to end a practice session when she begins to experience stiffness. She wonders if stretching more before starting a session will allow her to practice for a longer time.Over the next few days Lucy varies the number of minutes she stretches before the start of her session, xx, and notes the number of minutes she can practice before experiencing stiffness, yy.The least squares regression line of this data set is:y=0.549x+295.628y = 0.549x + 295.628\newlineComplete the following sentence:\newlineFor each additional minute of stretching, the least squares regression line predicts she will be able to practice _\_ minutes longer.
  1. Identify slope: Analyze the given regression equation y=0.549x+295.628y = 0.549x + 295.628 to identify the slope.
  2. Interpret slope: Interpret the slope in the context of the problem.

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