1. negative square technique
  2. positive square technique
  3. least square technique
  4. most square technique
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1 Answers

Answer: Option 3

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.

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