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21 July, 07:26

Locate the values of SSE, s2, and s on the printout below.

Model Summary

Model

R

R Square Adjusted

R Square Std. Error of the Estimate

1.859.737.689 11.826

ANOVA

Model Sum of Squares df Mean Square F Sig.

1 Regression 4512.024 1 4512.024 32.265.001

Residual 1678.115 12 139.843

Total 6190.139 13

Question 3 options:

SSE = 4512.024; s2 = 4512.024; s = 32.265

SSE = 4512.024; s2 = 139.843; s = 11.826

SSE = 6190.139; s2 = 4512.024; s = 32.265

SSE = 1678.115; s2 = 139.843; s = 11.826

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Answers (1)
  1. 21 July, 08:08
    0
    SSE = 1678.115; s2 = 139.843; s = 11.826

    Explanation:

    Consider the following formulas:

    SSE: This value provides a measure of how well the line of best fit approximates the data set.

    S^2: The variance is mathematically defined as the average of the squared differences from the mean

    S: is the expectation of the squared deviation of a random variable from its mean.
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Home » Business » Locate the values of SSE, s2, and s on the printout below. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1.859.737.689 11.826 ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 4512.024 1 4512.024 32.265.
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