Examlex
Which of the following statements is TRUE?
SST
A measure of the total variation in a dataset that is the sum of squares total, often used in the context of regression analysis.
SSE
The overall sum of errors squared, highlighting the divergence between a model's predictions and real-world data observations.
Least Squares Estimate
A method in statistics for estimating the best-fitting line to a set of points by minimizing the sum of the squares of the differences between the observed values and the values provided by the model.
Slope
This term describes the rate at which a line ascends or descends, calculated as the change in the y-axis divided by the change in the x-axis for any two points on the line.
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