Which of the following would be the least squares best fitti

Which of the following would be the least squares (best fitting) line?

The residual sum of squares is closest to zero

r is equal to zero

The residual sum of squares is closest to one

The variance of y is large

a.

The residual sum of squares is closest to zero

b.

r is equal to zero

c.

The residual sum of squares is closest to one

d.

The variance of y is large

Solution

The residual sum of squares is closest to zero

because least squares line is calculated by minimizing residual sum of squares.

a.

The residual sum of squares is closest to zero

Which of the following would be the least squares (best fitting) line? The residual sum of squares is closest to zero r is equal to zero The residual sum of squ

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