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. 2019 Mar 28;8(1):146–156. doi: 10.1556/2006.8.2019.10

Table 7.

LME regression beta coefficients of specific messaging on sports bettors’ intended, actual, and excess spend

Betting spend
Intended Actual Actual (excess)
Logistic ($ > 0) Log-normal [ln($)] Logistic ($ > 0) Log-normal [ln($)] Logistic ($ > 0) Log-normal [ln($)]
Fixed effects
Saturday (vs. weekday) 0.592 (0.115)** −0.100 (0.035)** 0.884 (0.132)** 0.109 (0.041)** 0.521 (0.145)** 0.047 (0.043)
Spend intention ($ > 0) 2.572 (0.137)**
Spend intention [ln($)] 0.256 (0.015)**
PG/MR status 0.810 (0.236)** 0.569 (0.162)** 0.903 (0.246)** 0.731 (0.162)** 0.616 (0.195)** 0.551 (0.134)**
Rewards program 0.014 (0.029) 0.074 (0.034)*
Advertisements on websites/apps 0.411 (0.098)** 0.477 (0.105)**
Brands during events 0.496 (0.090)**
Multibet offer 0.518 (0.096)**
TV advertisements 0.194 (0.032)**
Constant 0.285 (0.157) 3.571 (0.117)** −1.725 (0.260)** 3.137 (0.130)** −1.859 (0.224)** 2.779 (0.099)**
Random effects (participant)
Variance (intercept) 2.892 1.629 2.923 1.636 1.307 0.971
No. of observations 3,228 1,974 3,231 2,249 2,488 1,641
No. of participants 279 272 279 272 258 249

Note. Bracketed values indicate standard errors. LME: linear mixed effect; PG: problem gambler; MR: moderate-risk gambler.

*p < .05. **p < 0.01.