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Bias of an estimatorTotal least squaresErrors-in-variables modelsPropagation of uncertaintyNegative relationshipMean and predicted responseLinear regressionNonlinear regressionRegression toward the meanForecast errorResidual sum of squaresRegression validationFraction of variance unexplainedErrors and residualsGeneralized least squaresMulticollinearityBinary regressionObservational errorApproximation errorRoot-mean-square deviationMean percentage errorRound-off errorIsotonic regressionMean squared errorApproximation theoryBayes error rateEndogeneityPartial regression plotStandard errorSampling errorRegression analysisSampling biasOrdinal regressionTruncation errorOverdispersionLinear predictor functionLeast squaresInstrument errorHeckman correctionMeta-regressionAssimilation and contrast effectsDelta methodCoefficient of determinationMinimum mean square errorInverse-variance weightingMain effectContrastDerivativeLeaky integratorRidge regressionStepwise regressionStandardized coefficientStatistical stabilityOrdinary least squaresPartial residual plotT-statisticMean absolute percentage errorError barSkewnessMatrix differential equationStructural breakLog-linear modelEffect sizeCorrelation ratioMisleading graphObserver biasHistory index modelReduced costExtrapolationExplained sum of squaresOverfittingMean absolute errorPartial autocorrelation functionReduced formCensored regression modelEstimation theoryDiminishing returnsFalse precisionMean squared prediction errorCorrelationConfusion of the inverseLeast-squares adjustmentPower lawGoverning equationPolynomial regressionStochastic driftAnomalyModerationLocal regressionHuber lossP-valueNon-linear least squaresSegmented regressionMean absolute differenceTruncated normal distributionFalse positive rateInverse probability weightingAdaptive estimatorObserved informationNonlinear system