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Read the following description of a data set.\newlineOn most days Larry takes his lunch break in the park near his office. While sitting on the park bench, he scatters seeds for the pigeons and wonders how many pigeons will come.He decided to keep track of both the number of seed packages he scatters for the pigeons, xx, and the number of pigeons that come, yy.The least squares regression line of this data set is:y=3.564x6.172y = 3.564x - 6.172\newlineComplete the following sentence:\newlineIf Larry scattered one additional seed package, the least squares regression line predicts that __\_\_ additional pigeons would come.

Full solution

Q. Read the following description of a data set.\newlineOn most days Larry takes his lunch break in the park near his office. While sitting on the park bench, he scatters seeds for the pigeons and wonders how many pigeons will come.He decided to keep track of both the number of seed packages he scatters for the pigeons, xx, and the number of pigeons that come, yy.The least squares regression line of this data set is:y=3.564x6.172y = 3.564x - 6.172\newlineComplete the following sentence:\newlineIf Larry scattered one additional seed package, the least squares regression line predicts that __\_\_ additional pigeons would come.
  1. Calculate slope: The equation given is y=3.564x6.172y = 3.564x - 6.172. The slope of the least squares regression line is the coefficient of xx, which is 3.5643.564.
  2. Interpret slope meaning: In the equation y=3.564x6.172y = 3.564x - 6.172, xx represents the number of seed packages Larry scatters, and yy represents the number of pigeons that come. The slope of 3.5643.564 indicates that for each one seed package increase, the number of pigeons that come will increase by 3.5643.564.

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