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3. A procedure used to estimate the regression parameters ?? and Ais to find the linef=A+Ax which minimizes the sum of the squared distances of the data points from this line. A. Best-squares method B. Regression analysis method C. Coefficient of determination method D. Least-squares method 4. Suppose that the least-squares line is 73.3 0.497x and the residual is e 9.22 for the observation y80. What was value of the predictor x for this observation? A. -32.03 B. -5.07 C. 5.07 D. 32.03

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3. The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. "Least squares" means that the overall solution minimizes the sum of the squares of the residuals made in the results of every single equation.

So ans is D. Least Squares method.

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