drastically low r of 0.383

General
1 
Call:
lm(formula = deathpop ~ GDP + popd + newo + malep + elderlyp)

Residuals:
    Min      1Q  Median      3Q     Max 
-4.2914 -0.8696  0.0518  0.9464  3.4500 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept)  1.370e+00  3.596e-01   3.809 0.000237 ***
GDP          2.398e-05  7.548e-06   3.177 0.001967 ** 
popd        -2.553e-04  1.926e-04  -1.326 0.187864    
newo         9.123e+00  1.743e+00   5.233 8.83e-07 ***
malep        4.059e-06  4.352e-06   0.933 0.353136    
elderlyp    -1.318e-08  2.294e-08  -0.575 0.566837    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.508 on 103 degrees of freedom
  (4 observations deleted due to missingness)
Multiple R-squared:  0.3834,	Adjusted R-squared:  0.3535 
F-statistic: 12.81 on 5 and 103 DF,  p-value: 1.093e-09
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What's this all about?

3

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