A property developer has a plan for a massive new amusement park, but is unsure how many people will go to the new park. She decides to collect data from other amusement parks across the United States. For each park, she noted the number of rides x, as well as the average daily attendance y. The regression line is: y=45.924x+3,788.659
Using the regression line, about many people would attend this park if there were zero rides? If one additional ride was added to the park, the regression line predicts the attendance would increase by how many people? If the park has 24 rides, on average, how many people are expected to attend the park in one day?
If there were zero rides at the park, the regression line predicts that about 3,788.659 people would attend the park.
If one additional ride was added to the park, the regression line predicts that the attendance would increase by 45.924 people.
If the park has 24 rides, on average, the regression line predicts that about (45.924*24) + 3,788.659 = 4,879.611 people would attend the park in one day.