Skip to main content

Table 2 Multiple linear regression (MLR) models for tobacco use prevalence

From: Association of tobacco use with the tobacco-related built environment: an ecological study from urban slums of Bhopal, India

Final models of MLR

Estimate (B)

Standard error of estimate (SE B)

p value

Adjusted R2 of model

For all tobacco shops

0.656

Intercept

− 72.905

43.766

0.108

 

Density of all tobacco shops (No./km2)

0.071

0.021

0.002

 

Age in years (mean)

2.740

0.857

0.004

 

Percentage of literate population

− 0.250

0.113

0.035

 

Wealth Index (mean)

− 9.645

2.711

0.001

 

Gender ratio (percent male population)

0.048

0.223

0.831

 

For other tobacco shops

0.614

Intercept

− 74.038

46.353

0.122

 

Density of other tobacco shops (No./km2)

0.058

0.021

0.010

 

Age in years (mean)

2.716

0.908

0.006

 

Percentage of literate population

− 0.229

0.119

0.064

 

Wealth Index (mean)

− 10.049

2.863

0.002

 

Gender ratio (percent male population)

0.108

0.235

0.648

 

For exclusive tobacco shops

0.547

Intercept

− 82.940

50.153

0.110

 

Density of exclusive tobacco shops (No. per km2)

0.207

0.127

0.116

 

Age in years (mean)

2.534

0.982

0.016

 

Percentage of literate population

− 0.159

0.125

0.216

 

Wealth Index (mean)

− 9.704

3.139

0.005

 

Gender ratio (percent male population)

0.417

0.228

0.079

 
  1. Dependent variable: tobacco use prevalence (current) in slum clusters