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Minimum Sum of Squared Deviations
For any real number $$a$$:
$$\sum(x_i-a)^2\geq\sum(x_i-\bar{x})^2$$
Usage
- Shows that the sum of squared deviations is minimum about the mean.
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Minimum Sum of Squared Deviations
For any real number $$a$$:
$$\sum(x_i-a)^2\geq\sum(x_i-\bar{x})^2$$
Usage
- Shows that the sum of squared deviations is minimum about the mean.
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