Table 7 Multiple linear regression...

Table 7

Multiple linear regression predicting reduction in red meat consumption

Predictor	B	SE	β	T	p-Value
Constant	−1.338	0.792	–	−1.689	0.092
Age	0.093	0.052	0.101	1.849	0.066
Gender	0.132	0.104	0.0067	1.268	0.206
Household size	0.132	0.089	0.081	1.486	0.138
Monthly income	−0.086	0.054	−0.086	−1.573	0.117
Health consciousness score	0.899	0.209	0.294	4.297	<0.001
Label orientation score	0.722	0.105	0.228	4.113	0.166
Perceived health risk of red/processed meat consumption	0.328	0.075	0.250	4.397	<0.001

Predictor	B	SE	β	T	p-Value
Constant	−1.338	0.792	–	−1.689	0.092
Age	0.093	0.052	0.101	1.849	0.066
Gender	0.132	0.104	0.0067	1.268	0.206
Household size	0.132	0.089	0.081	1.486	0.138
Monthly income	−0.086	0.054	−0.086	−1.573	0.117
Health consciousness score	0.899	0.209	0.294	4.297	<0.001
Label orientation score	0.722	0.105	0.228	4.113	0.166
Perceived health risk of red/processed meat consumption	0.328	0.075	0.250	4.397	<0.001

Note(s): Model fit: R = 0.457; R² = 0.209; Adj. R² = 0.190; standard error of the estimate (SEE) = 0.882; F (7, 293) = 11.047, p < 0.001

Diagnostics: all VIFs <1.8 (tolerance >0.57), indicating no problematic multicollinearity