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MSE(x, \hat x) = \frac{1}{n} \sum_{i=1}^n (x_i - \hat x_i)^2

where 

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bodyx

a variable represented by data set

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body\hat x

predictor of variable 

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bodyx
 

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body\{ x_1, \, x_2, \, x_3 , ... x_N \}

discrete set of numerical samples of variable 

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bodyx
 

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body\{ \hat x_1, \, \hat x_2, \, \hat x_3 , ... \hat x_N \}

discrete set of predictors for the corresponding samples of variable 

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bodyx
 


See also

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Configure Coefficient of determination (R2)