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Read the following description of a data set.\newlineWashington County's Parks and Recreation Department is considering establishing a new park. As part of the decision-making process, the department asked an intern to conduct a park usage study.The study considered the area (in square kilometers), xx, and the number of visitors last year, yy, of each county park.The least squares regression line of this data set is:y=10,444.674x172,509.926y = 10,444.674x - 172,509.926\newlineComplete the following sentence:\newlineIf a park's area was one square kilometer larger, the least squares regression line predicts that it would have had ___ more visitors last year.

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Q. Read the following description of a data set.\newlineWashington County's Parks and Recreation Department is considering establishing a new park. As part of the decision-making process, the department asked an intern to conduct a park usage study.The study considered the area (in square kilometers), xx, and the number of visitors last year, yy, of each county park.The least squares regression line of this data set is:y=10,444.674x172,509.926y = 10,444.674x - 172,509.926\newlineComplete the following sentence:\newlineIf a park's area was one square kilometer larger, the least squares regression line predicts that it would have had ___ more visitors last year.
  1. Identify Coefficient of xx: To find out how many more visitors a park would have had if its area was one square kilometer larger, we need to look at the coefficient of xx in the regression equation, which represents the change in the number of visitors for each one square kilometer increase in park area.
  2. Determine Regression Equation: The regression equation is y=10,444.674x172,509.926y = 10,444.674x - 172,509.926. The coefficient of xx is 10,444.67410,444.674, which means for every increase of one square kilometer in park area, the number of visitors increases by 10,444.67410,444.674.
  3. Calculate Increase in Visitors: Therefore, if a park's area was one square kilometer larger, the regression line predicts that it would have had 10,444.67410,444.674 more visitors last year.

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