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Read the following description of a data set.\newlineA state's Department of Education is planning to change some school district boundaries to alleviate overcrowding at certain campuses. As a first step, the department put together a report on a sample of towns in the state.For each town in the sample, the report recorded its population (in thousands), xx, and its number of schools, yy.The least squares regression line of this data set is:y=0.122x3.426y = 0.122x - 3.426\newlineComplete the following sentence:\newlineIf a town had one thousand more people, the least squares regression line predicts that it would have _\_ more schools.

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Q. Read the following description of a data set.\newlineA state's Department of Education is planning to change some school district boundaries to alleviate overcrowding at certain campuses. As a first step, the department put together a report on a sample of towns in the state.For each town in the sample, the report recorded its population (in thousands), xx, and its number of schools, yy.The least squares regression line of this data set is:y=0.122x3.426y = 0.122x - 3.426\newlineComplete the following sentence:\newlineIf a town had one thousand more people, the least squares regression line predicts that it would have _\_ more schools.
  1. Analyze Equation: Analyze the given regression equation y=0.122x3.426y = 0.122x - 3.426. Here, the coefficient of xx, which is 0.1220.122, represents the slope of the line. This slope indicates the change in the number of schools for each thousand-person increase in the town's population.
  2. Calculate School Increase: To find out how many more schools a town would have if its population increased by 10001000, we use the slope of the regression line. Since the slope is 0.1220.122, this means that for every thousand additional people, the number of schools increases by 0.1220.122.

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