What to be concluded if correlation is coming -0.7867 , if variables are affecting each other?
Actually , i ran a model for LOS against others & found the below summary.. I am not able to interpret this result.. plz help to read this correctly.....
Residuals:
Min 1Q Median 3Q Max
-12.8701 -0.3463 -0.1663 0.3050 15.1572
Coefficients: (1 not defined because of singularities)
Estimate Std. Error t value Pr(>|t|)
(Intercept) -3.32451110 0.56765802 -5.857 0.0000000123 ***
AGE -0.11558628 0.09458443 -1.222 0.2226
FEMALE 0.12761003 0.21492428 0.594 0.5531
RACE 0.06850460 0.19844679 0.345 0.7302
TOTCHG 0.00092100 0.00003794 24.276 < 0.0000000000000002 ***
APRDRG 0.00671019 0.00074522 9.004 < 0.0000000000000002 ***
age_GroupAge group (2-5) -6.28570501 1.33594514 -4.705 0.0000038587 ***
age_GroupAge group (6-10) -2.26017291 1.04062565 -2.172 0.0306 *
age_GroupAge group (>10) 0.24776494 1.39713442 0.177 0.8594
Gender_CatMale NA NA NA NA
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.787 on 304 degrees of freedom
Multiple R-squared: 0.6611, Adjusted R-squared: 0.6522
F-statistic: 74.13 on 8 and 304 DF, p-value: < 0.00000000000000022