Table 3

Results of regression for printed materials

Number of observations = 35


Adjusted r2 = 0.5446

F statistic = 21.33

P of F statistic < 0.0001

Variable

Coefficient

SE

T

P


ln GDP per capita

-.9194

0.1835

-5.01

0.000

Flyer cost (dummy)

-1.558

0.3767

-4.13

0.000

Constant

-.2874

1.623

-0.18

0.861


Dependent variable: log ratio of price of printed materials to GDP per capita

Breusch-Pagan test of heteroskedasticity: 1.02 (p = 0.31 (Chi2)).

VIF test for multicolinearity:1.02 (less than 2 indicates no multicollinearity)

Johns et al. Cost Effectiveness and Resource Allocation 2006 4:8   doi:10.1186/1478-7547-4-8

Open Data