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Suppose a regression with 51 observations returns a regression sum of squares of 56,000 and a total sum of squares of 250,000. the associated residual sum of squares is:
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Oct 1, 2018
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Suppose a regression with 51 observations returns a regression sum of squares of 56,000 and a total sum of squares of 250,000. the associated residual sum of squares is:
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Paul Kruger
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This is a regression problem in which the total sum of squares is obtained by summing up the regression sum of squares and the residual sum of squares.
Therefore;
Residual sum of squares= Total sum of squares - Regression sum of squares
Residual sum of squares= 250000 - 56000 = 194000
James Hogle
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Oct 7, 2018
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James Hogle
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