Table 4.

Bivariate tests of association and multiple linear regression modeling the association of perception of percentage of peers using tobacco products with demographic and personal characteristics.

Potential predictor	Cigarettes (n=486)		E-cigarettes (n=484)		Hookah (n=488)
	Bivariate test statistic (p)	Regression parameter estimate (p)	Bivariate test statistic (p)	Regression parameter estimate (p)	Bivariate test statistic (p)	Regression parameter estimate (p)
Male	−3.01 (.003)	−5.85 (.001)	−2.15 (.032)	−3.54 (.037)	−6.10 (<.001)	−12.84 (<.001)
White/non-Hispanic	−3.03 (.001)	−6.53 (.001)	−3.60 (<.001)	−8.49 (<.001)	−3.44 (<.001)	−8.11 (.001)
Lower undergraduates	−1.12 (.16)	−1.31 (.54)	1.26 (.21)	2.67 (.20)	1.71(.089)	4.46 (.098)
On-campus residence	−1.54 (.12)	−1.07 (.53)	−0.26 (.80)	−0.75 (.65)	0.27 (.79)	0.34 (.87)
Current tobacco user	2.36 (.009)	2.84 (.20)	0.76 (.44)	1.91 (.37)	0.52 (.61)	−3.10 (.25)
Number of smokers in lifer	0.21 (<.001)	3.15 (<.001)	0.04 (.34)	0.55 (.51)	0.09 (.058)	2.71 (.011)
Reported exposure to SHSr	0.18 (<.001)	0.98 (.011)	0.06 (.21)	0.35 (.34)	0.13 (.003)	1.01 (.035)
	MLR F=8.32, p<.001 R2 = 0.11		MLR F=4.14, p<.001 R2=0.06		MLR F=9.22, p<.001 R2=0.12

SHS=Secondhand smoke

MLR=multiple linear regression

Note. All bivariate comparisons based on two-sample t-tests except those denoted with ‘r,’ which are Pearson's product moment correlations.