Table 5. Multiple regression results.

Predictor	B	95% CI		p	FDR	R2(%)	95% CI (%)		VIF
Concreteness	−11.534	[−15.019	−8.157]	0	1	0.75	[0.50	1.07]	2.081
Size	−11.684	[−16.707	−6.859]	0	1	0.72	[0.52	0.93]	3.052
Arousal	−4.347	[−8.738	0.031]	0.052		0.48	[0.31	0.67]	2.789
Concreteness × Size	0.131	[−3.776	4.250]	0.948		0.45	[0.30	0.61]	2.737
Concreteness × Arousal	2.365	[−1.488	6.227]	0.234		0.45	[0.31	0.60]	2.261
Size × Arousal	2.926	[−0.172	5.974]	0.063		0.49	[0.33	0.67]	1.286
Concreteness × Size × Arousal	−6.780	[−10.161	−3.451]	0	1	0.44	[0.31	0.58]	2.243
Intercept	582.736

Reported are the slopes (Bs) for each regressor, the associated 95% confidence intervals (CIs), p-values, and whether they survived the False Discovery Rate (FDR) correction (p<0.05) for multiple comparison (significant effects are marked with 1s). Also reported are the regressors’ semi-partial correlation coefficients (R²s), the associated 95% CIs, and variance inflation factors (VIFs).