Table 2.

Four Hierarchical multiple linear regressions between noise sensitivity (always the dependent variable) and (a) noise annoyance, (b) odor pleasantness, (c) odor intensity, and (d) odor familiarity. To control for participant age, it was always included in the first step.

Variables	R2	ΔR2	F	B	beta	t
Step 1: Age	0.110	0.110 *	8.883 *	0.013	0.331	2.980 *
Step 2: Age	0.273	0.163 **	13.315 **	0.010	0.273	2.664 *
(a) Noise Annoyance				0.081	0.408	3.988 **
Step 1: Age	0.110	0.110 *	8.883 *	0.013	0.331	2.980 *
Step 2: Age	0.114	0.004	4.556 *	0.013	0.345	3.002 *
(b) Odor Pleasantness				−0.004	−0.066	−0.576
Step 1: Age	0.110	0.110 *	8.883 *	0.013	0.331	2.980 *
Step 2: Age	0.135	0.024	5.443 *	0.014	0.362	3.199 *
(c) Odor Intensity				0.006	0.159	1.401
Step 1: Age	0.110	0.110 *	8.883 *	0.013	0.331	2.980 *
Step 2: Age	0.112	0.002	4.466 *	0.013	0.328	2.924 *
(d) Odor Familiarity				−0.003	−0.044	−0.392

* p < 0.05, ** p < 0.001.