2.3 Residuals

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Last updated 2:07 AM on 1/7/25
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6 Terms

1
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standard error

the standard deviation of the residuals - when assumptions and conditions are met, the spread residuals can be described using this and the 68, 95, 99.7 rule

2
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se

the standard error of a regression

3
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R2

shows the fraction of the variability of the response variable that is accounted for by the least squares linear regression model - also commonly named the ‘coefficient of variability’, and is the square of the correlation between x and y variables

4
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residuals

the difference between observed data values and the corresponding values predicted by the mathematical mdoel

5
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se = √ (Σ e2) / (n-2)

the formula for the standard error of a regression

6
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e

the variable that represents any individual residual; observed value - predicted value