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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