What is the line closest to data in the coordinate plane?

Answer 1

The line closest to a set of data points in the coordinate plane is often determined using linear regression, which finds the best-fitting line by minimizing the sum of the squared distances (errors) between the observed data points and the line. This is typically represented in the form of (y = mx + b), where (m) is the slope and (b) is the y-intercept. The resulting line provides a linear approximation of the relationship between the variables represented by the data.