negative square technique
positive square technique
least square technique
most square technique
✅ The correct answer is C.
A technique which minimizes sum of squared vertical difference, to determine regression line is considered as least square technique. The least squares method is a form of mathematical regression analysis that finds the line of best fit for a set of data, providing a visual demonstration of the relationship between the data points.
A technique which minimizes sum of squared vertical difference, to determine regression line is considered as least square technique. The least squares method is a form of mathematical regression analysis that finds the line of best fit for a set of data, providing a visual demonstration of the relationship between the data points.