Bytelearn - cat image with glassesAI tutor

Welcome to Bytelearn!

Let’s check out your problem:

Read the following description of a data set.\newlineA sporting goods chain is planning to open a new store in Putnam County. In order to decide on an optimal location, their market researchers gathered data on sports facilities in towns across the county.The researchers considered the population (in thousands), xx, and the number of sports facilities, yy, in each town.The least squares regression line of this data set is:y=0.524x38.329y = 0.524x - 38.329\newlineComplete the following sentence:\newlineIf a town had one thousand more people, the least squares regression line predicts that it would have __\_\_ more sports facilities.

Full solution

Q. Read the following description of a data set.\newlineA sporting goods chain is planning to open a new store in Putnam County. In order to decide on an optimal location, their market researchers gathered data on sports facilities in towns across the county.The researchers considered the population (in thousands), xx, and the number of sports facilities, yy, in each town.The least squares regression line of this data set is:y=0.524x38.329y = 0.524x - 38.329\newlineComplete the following sentence:\newlineIf a town had one thousand more people, the least squares regression line predicts that it would have __\_\_ more sports facilities.
  1. Calculate Slope: The equation given is y=0.524x38.329y = 0.524x - 38.329. The slope of the least squares regression line is the coefficient of xx, which is 0.5240.524.
  2. Interpret Slope: In the equation y=0.524x38.329y = 0.524x - 38.329, xx represents the population of the town in thousands, and yy represents the number of sports facilities in that town. The slope of 0.5240.524 indicates that for each increase of one thousand people in the town's population, the number of sports facilities is predicted to increase by 0.5240.524.

More problems from Interpret regression lines