Read the following description of a data set.A 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), x, and its number of schools, y.The least squares regression line of this data set is:y=0.163x+30.698Complete the following sentence:If a town had one thousand more people, the least squares regression line predicts that it would have _ more schools.
Q. Read the following description of a data set.A 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), x, and its number of schools, y.The least squares regression line of this data set is:y=0.163x+30.698Complete the following sentence:If a town had one thousand more people, the least squares regression line predicts that it would have _ more schools.
Identify Slope: Identify the slope of the least squares regression line. The equation given is y=0.163x+30.698. The slope of the least squares regression line is the coefficient of x, which is 0.163. This slope indicates the change in the number of schools for each additional thousand people in the town's population.
Interpret Slope: Interpret the slope in the context of the problem.Since the slope is 0.163, this means that for every increase of one thousand in the population (since x is in thousands), the number of schools (y) is predicted to increase by 0.163.
Calculate Predicted Increase: Calculate the predicted increase in the number of schools for an increase of one thousand people. Using the slope, we can predict that if a town had 1000 more people, it would have 0.163 more schools according to the least squares regression line.