My Research Model is
pgr_ = c + ltr+uer+dummy
where
pgr= Population growth rate
ltr= Literacy rate
uer= unemployment rate
Dummy= war against terror
in this model i m research about the relation of PGR with ltr and uer.
from the estimate equation i get following result
Dependent Variable: DLOG(PGR_)
Method: Least Squares
Date: 01/01/09 Time: 01:52
Sample (adjusted): 1982 2010
Included observations: 29 after adjustments
[*][*]Variable Coefficient Std. Error t-Statistic Prob.
C -0.004921 0.004998 -0.984654 0.3342
DLOG(LTR_) -0.230298 0.067316 -3.421172 0.0022
DLOG(UER_) 0.074258 0.031057 2.391039 0.0246
DUMMY 0.003113 0.007875 0.395275 0.6960
R-squared 0.372274 Mean dependent var -0.010614
Adjusted R-squared 0.296947 S.D. dependent var 0.023618
S.E. of regression 0.019803 Akaike info criterion -4.878535
Sum squared resid 0.009804 Schwarz criterion -4.689943
Log likelihood 74.73876 Hannan-Quinn criter. -4.819470
F-statistic 4.942106 Durbin-Watson stat 2.114901
Prob(F-statistic) 0.007874
How i can interprate this results? PLZ reply early
interpretation( Please Reply Early)
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