Table 3.

Regression coefficients predicting percentage of bets that were researched and planned in advance of the match

Predictor	Unstd. coeff.	SE	95% CI		Std. coeff.	t	p
			LL	UL
Intercept	85.51	5.41	74.90	96.11		15.81	<.001
Gender (ref.: male)	−12.88	1.72	−16.25	−9.50	−0.17	−7.48	<.001
Age (years)	0.28	0.07	0.15	0.41	0.10	4.20	<.001
PGSI groups (ref.: non-problem)
Low risk	8.47	2.61	3.35	13.59	0.09	3.24	.001
Moderate risk	1.58	2.62	−3.56	6.72	0.02	0.60	.547
Problem	−4.70	2.72	−10.02	0.63	−0.07	−1.73	.084
Sports-watching frequency	1.30	0.81	−0.30	2.89	0.05	1.59	.112
Exposure to marketing	1.82	0.99	−0.13	3.77	0.04	1.83	.068
Average frequency of inducements used	−0.10	0.53	−1.14	0.95	−0.01	−0.19	.852
Buying impulsiveness	−10.98	1.13	−13.18	−8.77	−0.25	−9.76	<.001

Note. Significant predictors are represented in bold. Unstd. coeff.: unstandardized coefficient; Std. coeff.: standardized coefficient; SE: standard error; CI: confidence interval; LL: lower limit; UL: upper limit; PGSI: Problem Gambling Severity Index.

R² = .17, [F(9, 1800) = 40.66, p < .001].