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The standard error of the regression:_________
A. Is based on squared deviations from the regression line.
B. May assume negative values if b1 < 0.
C. Is in squared units of the dependent variable.
D. May be cut in half to get an approximate 95 percent prediction

Respuesta :

Answer:

the answer is

A. Is based on squared deviations from the regression line.

Step-by-step explanation:

since the numerator of standard error if N, squaring the value cannot give negative value. dependent variable are the squared units

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