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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