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The essential assumptions for regression were tested: normality of residuals (probability-to-probability plot), linearity (scatter plot of relationship between BI and chemosensory function), homoscedasticity (scatter plot of residuals), and the absence of multicollinearity (correlation coefficients between predictors and variance inflation factor)

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