Table 4:

OLS Regression outcomes for drinks per week, outcomes, and problem drinking as outcomes are listed below in the following tabulation. Model 1 does not include tweeting behavior as an independent variable. Coefficients are not standardized. (Reference dummies include: Gender – Female, Race – Asian, Ethnic – Not Hispanic/Latino):

Regression Criterion	Predictor	Model 1		Model 2
		B	p > |z|	B	p > |z|
Drinks per week	Intercept	−4.782	0.178	−2.038	0.565
	α	2.912	0.0**	2.768	0.0**
	Age	0.301	0.098	0.150	0.409
	Gender – Male	0.238	0.377	0.374	0.165
	Gender – Female to Male	−0.806	0.544	0.090	0.950
	Race – Black/African American	0.549	0.249	0.451	0.334
	Race – Caucasian	0.919	0.029*	0.568	0.184
	Race – American Indian/Alaska Native	0.991	0.575	0.889	0.624
	Race – More than one	0.491	0.379	0.359	0.514
	Race – Other	1.301	0.095	1.142	0.128
	Ethnic – Hispanic/Latino	0.012	0.979	0.099	0.825
	Proportion of Alcohol Tweets	-	-	0.252	0.033*
Consequences	Intercept	−0.306	0.894	−0.314	0.889
	α	1.235	0.0**	1.180	0.0**
	Age	0.092	0.431	0.087	0.452
	Gender – Male	−0.238	0.193	−0.169	0.353
	Gender – Female to Male	−1.273	0.187	−1.059	0.267
	Race – Black/African American	0.200	0.536	0.156	0.623
	Race – Caucasian	0.365	0.205	0.213	0.462
	Race – American Indian/Alaska Native	0.647	0.591	−0.448	0.701
	Race – More than one	0.107	0.781	0.007	0.986
	Race – Other	0.640	0.221	0.540	0.291
	Ethnic – Hispanic/Latino	−0.161	0.605	−0.079	0.798
	Proportion of Alcohol Tweets	-	-	0.151	0.032*
Problem Drinking	Constant	−0.736	0.762	−1.325	0.577
	α	0.723	0.0**	0.654	0.0**
	Age	0.147	0.233	0.162	0.178
	Gender – Male	−0.002	0.991	0.167	0.390
	Gender – FTM	−1.360	0.084	−1.127	0.143
	Race – Black/African American	−1.102	0.003**	−1.028	0.004**
	Race – Caucasian	−0.028	0.929	−0.114	0.706
	Race – American Indian/Alaska Native	−0.144	0.880	−0.396	0.662
	Race – More than one	−0.463	0.252	−0.455	0.239
	Race – Other	0.484	0.370	0.397	0.442
	Ethnic – Hispanic/Latino	−0.564	0.115	−0.476	0.170
	Proportion of Alcohol Tweets	-	-	0.221	0.009**