Consider this scenario: the population of a city increased steadily over a ten-year span. the following ordered pairs show the population x and the year y over the ten-year span in the form (x, y) for specific recorded years. use linear regression to determine a function y, where the year depends on the population. round to three decimal places of accuracy. (2500, 2001), (2650, 2002), (3000, 2004), (3500, 2007), (4200, 2011) predict when the population will hit 15,000.

Step-by-step explanation:

Given that the population of a city increased steadily over a ten-year span. The following ordered pairs show the population x and the year y over the ten-year span in the form (x, y) for specific recorded years.

xy

25002001

26502002

30002004

35002007

42002011

Slope0.005865485

Intercept1986.406413

So regression line is

When population = 15000

square root of 36/6 = 2.449489743

square root of 16/6 = 1.632993162

square root of 6 = 2.449489743

the answer is square root of 16/6 because the square root of 36/6 is the same answer as square root of 6 = 2.449489743