Table 3. Linear regression on semantic Size with Arousal, Absolute Valence, and their interaction term as predictors.

	B	95% CI		p	r	VIF
Arousal	17.228	[14.089	20.367]	<0.001	0.732	2.096
Absolute Valence	0.565	[−2.562	3.692]	0.722	0.534	2.080
Arousal × Absolute Valence	−0.925	[−3.185	1.335]	0.421	0.161	1.086

Reported are the slopes (Bs) for each regressor, their associated 95% confidence intervals (CIs), and p-values. Also shown are their zero-order correlation coefficients (rs) and variance inflation factors (VIFs; a VIF indexes the extent to which the variance of an estimated regression coefficient is increased because of collinearity).