Squared Deviations

Squared Deviations

In probability theory and statistics, the definition of variance is either the expected value (when considering a theoretical distribution), or average value (for actual experimental data), of squared deviations from the mean. Computations for analysis of variance involve the partitioning of a sum of squared deviations. An understanding of the complex computations involved is greatly enhanced by a detailed study of the statistical value:

It is well known that for a random variable with mean and variance :

Therefore

From the above, the following are easily derived:

If is a vector of n predictions, and is the vector of the true values, then the SSE of the predictor is:

Read more about Squared Deviations:  Sample Variance, Partition — Analysis of Variance, Two-way Analysis of Variance, See Also

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