Examlex
Which of the following statements is false?
Total SS
The total sum of squares, a measure of the total variation in a dataset.
SST
Sum of Squares Total (SST) refers to the total variance in a set of observations, measuring the overall deviation of individual cases from the mean.
SSB
Sum of Squares Between groups; a measure used in statistical analysis to quantify variations among group means.
SSE
Stands for Sum of Squared Errors, a measure used to quantify the discrepancy between the data and an estimation model.
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