Examlex
Which of the following statements is most correct?
SSE
Sum of Squared Errors, a measure used to indicate the discrepancy between the data and an estimation model.
SSR
Sum of Squared due to Regression, indicates the proportion of variance in the dependent variable that is predictable from the independent variable(s).
SSE
Sum of Squared Errors, a measure used in statistics to quantify the difference between observed and predicted values.
Test Statistic F
A ratio of variances used in the context of an F-test in statistical analysis, to compare the variances of two samples or treatments.
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