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Which of the Following Statements Is FALSE

question 6

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Which of the following statements is FALSE?


Definitions:

Total Sum of Squares

The sum of squared differences between each observation and the overall mean, a measure of total variation within a dataset.

Larger

In a statistical context, this could refer to a value or effect size that is greater in magnitude compared to another value or effect size.

Total SS

Stands for the total sum of squares in statistics, which measures the total variation in a dataset.

Coefficient of Determination

A statistical measure represented by R^2 that indicates the proportion of the variance in the dependent variable predictable from the independent variable(s).

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