Identifying the Smoking and Smokeless Tobacco-Related Predictors on Frequencies of Heavy Vehicle Traffic Accidents in Bangladesh: Linear and Binary Logistic Regression-Based Approach

Table 3

Analysis of variance.

Term	DF	Adjusted sum of square (SS)	Adjusted mean square (MS)	F value	value
Regression	16	199.55	12.4718	2.44	0.002
AvgCigPerDay	1	14.47	14.4663	2.83	0.094
NosSmokePerDrivHr	1	26.46	26.4591	5.17	0.024
SmokeDurDrive	1	33.52	33.5174	6.55	0.011
Foursmokeormore	1	32.54	32.5396	6.36	0.012
Age	1	0.08	0.0842	0.02	0.898
DrivingHour	1	0.85	0.8467	0.17	0.684
CigUseYr	1	0.53	0.5294	0.10	0.748
NosSmokeDurDrive	1	15.87	15.8686	3.10	0.079
SmokeorTobaccoStatus	1	12.35	12.3541	2.41	0.121
SmokeDaily	1	3.01	3.0136	0.59	0.443
TypofSmklessTobc	4	18.05	4.5132	0.88	0.475
SmkLessTobDailyStat	2	7.30	3.6493	0.71	0.491
Error	407	2083.95	5.1203
Lack of fit	371	1954.45	5.2681	1.46	0.081
Pure error	36	129.50	3.5972
Total	423	2283.50