The table shows the population of center city in various years. use the data from 1990 and 2005 to create a linear model thi
predicts the population of the city ) in a given year (x). in which year was the actual population of center city most different
from the value predicted by this model?

Taking years as input variable and population of that city as output variable, let y represent the population after 1985 and y represent the population in and index of 1000. Linear regression is a modeling relationship that exists between the variable.

The equation, therefore, can be derived in Y=a+bX. In this case, Y is the independent variable that is drawn on the axis of the graph while X represents the variable plotted on the x-axis of the graph; finally, b is line slope.