Question

Or
Explain the properties of Residuals.​

Answer 1

Answer:

residual is a measure of how well a line fits an individual data point. This vertical distance is known as a residual. For data points above the line, the residual is positive, and for data points below the line, the residual is negative. The closer a data point's residual is to 0, the better the fit.

Step-by-step explanation:

Residuals show how far data fall from regression line and thus help us assess how well the line fits/describes the data. Residuals can be be calculated from any model fitted to data. However, residuals from least-squares line have a special property: the mean of the least-squares residuals is always