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Read the following description of a data set.\newlineA gym franchise was considering a television marketing campaign to increase its membership. The franchise's market researchers wanted to get a better sense of the television and exercise habits of the gym's target demographic. To begin, the market researchers surveyed some of the current members about how many hours they had spent watching television and exercising last month.Using the survey responses, the researchers compared the number of hours of television watched, xx, to the number of hours of exercise, yy, for each member.The least squares regression line of this data set is:y=0.684x+58.503y = -0.684x + 58.503\newlineComplete the following sentence:\newlineIf a gym member had watched one additional hour of television last month, the least squares regression line predicts that they would have spent ___ hours less exercising that month.

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Q. Read the following description of a data set.\newlineA gym franchise was considering a television marketing campaign to increase its membership. The franchise's market researchers wanted to get a better sense of the television and exercise habits of the gym's target demographic. To begin, the market researchers surveyed some of the current members about how many hours they had spent watching television and exercising last month.Using the survey responses, the researchers compared the number of hours of television watched, xx, to the number of hours of exercise, yy, for each member.The least squares regression line of this data set is:y=0.684x+58.503y = -0.684x + 58.503\newlineComplete the following sentence:\newlineIf a gym member had watched one additional hour of television last month, the least squares regression line predicts that they would have spent ___ hours less exercising that month.
  1. Calculate slope: The equation given is y=0.684x+58.503y = -0.684x + 58.503. The slope of the least squares regression line is the coefficient of xx, which is 0.684-0.684.
  2. Interpret slope: In the equation y=0.684x+58.503y = -0.684x + 58.503, xx represents the number of hours of television watched, and yy represents the number of hours of exercise. The slope of 0.684-0.684 indicates that for each one hour increase in television watching, a person will spend 0.6840.684 hours less exercising.

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