The multivariate linear regression was done according to the following formula:
neo_mort ~ health_dis + elec + household_size + vio_tot
The dependent variable, neo_mort, is the mortality rate per 1000 during the first 28 days of life. The independent or explicative variables are: health_dist, which is proportional to the distance in minutes that it takes to reach the nearest health center; elec, that represents the percentage of households with access to electricity; household_size, that represents the average size in family members for each district; vio_tot, that represents the rate of domestic violence on women.
The linear multivariate regression produced had a R^2 value of 0.22 and the standard error was of 7.16. Comparing this standar error to our predicted vairable, neo_mort, this variable has a mean value of 31.04 with a standard derivation of 7.97. The resulting coefficients and their statistics are shown in Table 1. It can be seen that the neonatal mortality is negatively correlated to all of the explicative variables.