The statistical procedure that results in predictions with the lowest sum of squared differences between actual and predicted values in a regression equation is called:

The statistical procedure that results in predictions with the lowest sum of squared differences between actual and predicted values in a regression equation is called: 







A. SPSS.

B. unexplained variance.

C. ordinary least squares.

D. the slope.

E. regression coefficient.







Answer: C


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