Quantitative Analysis for Development Practice

Quantitative Analysis for Development Practice

Table of Contents
1 Bivariate Analysis.............................................................................................................2
1.1 Linear Regression......................................................................................................2
1.2 Correlation.................................................................................................................3
1.3 Sample distribution...................................................................................................3
1.4 Prevalence by associated factors..............................................................................5
2 Multivariate Analysis.......................................................................................................6
2.1 Regression Analysis...................................................................................................6
1

1 Bivariate Analysis
1.1 Linear Regression
_cons 195023.3 4798.466 40.64 0.000 185614.1 204432.5
s309 -958.545 54.94195 -17.45 0.000 -1066.28 -850.8104
v003 -63.41723 932.3084 -0.07 0.946 -1891.562 1764.728
m19 -1.862414 .4987614 -3.73 0.000 -2.840425 -.8844024
v001 Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 2.3404e+13 2,594 9.0225e+09 Root MSE = 88955
Adj R-squared = 0.1230
Residual 2.0503e+13 2,591 7.9130e+09 R-squared = 0.1240
Model 2.9018e+12 3 9.6727e+11 Prob > F = 0.0000
F(3, 2591) = 122.24
Source SS df MS Number of obs = 2,595
. regress v001 m19 v003 s309
2