Examlex
Which one of the following statements is false?
SSE
Sum of Squared Errors (SSE) is a measure used in statistics to quantify the variance or discrepancy between observed and predicted data points.
Total Sum Of Squares
A statistical measure representing the total variation in a dataset, used as a component in calculating variance or testing hypotheses.
SSE
Short for Sum of Squared Errors, a measure used in statistics to describe the total deviation of data points from their fitted values in a regression analysis.
Y-intercept
The point where a line, curve, or function crosses the y-axis of a graph.
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