method applied for deriving the regression equation is known as a) product moment b) least squares c) repetitive d) iterative
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The correct answer is b) least squares.
Step-by-step explanation:
- In order to find the line of best fit for a set of data, the least-squares method is a type of mathematical regression analysis. It offers a visual representation of the relationship between the data points. The correlation between a known independent variable and an unknowable dependent variable is represented by each data point.
- By reducing the total of the offsets or residuals of points from the plotted curve, the least-squares method is a statistical technique for determining the best fit for a set of data points.
- In order to forecast the behavior of dependent variables, least squares regression is performed.
- The location of the line of best fit among the data points under study is explained generally by the least-squares method.
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