Table 3. Linear and hierarchical...

Table 3.

Linear and hierarchical multiple regression analysis predicting binge eating*

	Dependent variable
	Binge eating
Predictor	r	ΔR²	p	β	p
Step 1		0.02	0.13
Age (years)	0.09			0.05	ns
Gender	0.20			0.18*	0.05
Step 2		0.26	0.00
BMI	0.52**			0.51***	<0.01
Step 3		0.39	0.00
Emotional eating	0.62**			0.42***	<0.01
Step 4		0.42	0.00
External eating	0.45**			0.22**	<0.05
Step 5		0.42	0.00
Restrained eating	0.21			−0.08	ns
Total R²		0.42

	Dependent variable
	Binge eating
Predictor	r	ΔR²	p	β	p
Step 1		0.02	0.13
Age (years)	0.09			0.05	ns
Gender	0.20			0.18*	0.05
Step 2		0.26	0.00
BMI	0.52**			0.51***	<0.01
Step 3		0.39	0.00
Emotional eating	0.62**			0.42***	<0.01
Step 4		0.42	0.00
External eating	0.45**			0.22**	<0.05
Step 5		0.42	0.00
Restrained eating	0.21			−0.08	ns
Total R²		0.42

Notes:

n = 78;

*Hierarchical regression involving the entry of predictor variables into the analysis in steps (stepwise). Linear correlation obtained from Pearson correlation test (r). ΔR² = the change in R² value for each subsequent step of the model, resulting from the addition of a predictor to the regression equation. β = the beta values in regression are the estimated coefficients of the explanatory variables. P-value less than 0.05 was considered as statistically significant (ns, non-significant)

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