Table 3. Correlation Matrix of all Variables.
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | |
1 | U5MR | 1.000 | |||||||||||||||
2 | Average Annual Temperature (°C) | 0.335# | 1.000 | ||||||||||||||
3 | Annual Rainfall (mm) | −0.204# | −0.223# | 1.000 | |||||||||||||
4 | Foodgrain Yield (quintal./hectare)$ | 0.049 | 0.086 | −0.271# | 1.000 | ||||||||||||
5 | District within 2 km from Road$ | 0.194# | 0.353# | −0.189# | 0.246# | 1.000 | |||||||||||
6 | Population Density (person/sq. km) (log) | 0.112 | 0.292# | −0.124* | 0.508# | 0.512# | 1.000 | ||||||||||
7 | Coverage Gap Index (CGI) | 0.443# | 0.121* | −0.197# | 0.243# | 0.323# | 0.432# | 1.000 | |||||||||
8 | CHC with Low Birth Weight Management | −0.033 | −0.025 | 0.068 | −0.080 | −0.190# | −0.257# | −0.235# | 1.000 | ||||||||
9 | Number of newborn care provided in PHC (log) | 0.009 | 0.324# | −0.010 | −0.005 | 0.112 | 0.204# | 0.061 | 0.066 | 1.000 | |||||||
10 | Knowledge about Malaria Prevention$ | −0.215# | 0.089 | 0.087 | −0.090 | −0.287# | −0.364# | −0.559# | 0.144* | −0.037 | 1.000 | ||||||
11 | Per Capita GDDPPC (log)$ | −0.327# | −0.204# | 0.105 | −0.058 | −0.336# | −0.374# | −0.544# | 0.115 | −0.257# | 0.516# | 1.000 | |||||
12 | HH having BPL Card | 0.143* | 0.042 | 0.192# | −0.351# | 0.013 | −0.398# | −0.191# | 0.046 | −0.137* | 0.071 | −0.117* | 1.000 | ||||
13 | SC/ST Population (log)$ | −0.025 | 0.112 | 0.279# | −0.382# | −0.202# | −0.550# | −0.258# | 0.189# | 0.006 | 0.237# | 0.142* | 0.471# | 1.000 | |||
14 | HH with Piped Water (log)$ | −0.214# | −0.214# | −0.154* | −0.044 | −0.320# | −0.395# | −0.530# | 0.208# | −0.220# | 0.512# | 0.691# | −0.109 | 0.046 | 1.000 | ||
15 | Urban Population | −0.306# | 0.058 | −0.180# | 0.143* | 0.038 | 0.113 | −0.317# | 0.045 | −0.047 | 0.334# | 0.598# | −0.286# | −0.173# | 0.574# | 1.000 | |
16 | Female literacy | −0.267# | 0.007 | 0.234# | 0.107 | −0.002 | 0.164# | −0.394# | 0.010 | −0.103 | 0.399# | 0.347# | −0.044 | −0.128* | 0.242# | 0.409# | 1.000 |
Note: For full description of variable code, see Table 1.
Correlation is significant at the 0.01 level (2-tailed).
Correlation is significant at the 0.05 level (2-tailed).
Variables were dropped in the regression model to avoid multicollinearity and for the best fit.