Call:
lm(formula = deathpop ~ GDP + popd + obesity + malep + elderlyp)
Residuals:
Min 1Q Median 3Q Max
-1.934 0.000 0.000 0.000 1.934
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -5.732e-01 1.456e+00 -0.394 0.70126
GDP 8.921e-06 1.724e-05 0.517 0.61513
popd -1.429e-03 1.287e-03 -1.110 0.29066
obesity0.10299999999999999 4.608e+00 1.976e+00 2.332 0.03971 *
obesity0.108 3.423e+00 2.041e+00 1.677 0.12169
obesity0.109 2.847e+00 1.973e+00 1.443 0.17684
obesity0.127 4.133e+00 1.984e+00 2.083 0.06140 .
obesity0.13500000000000001 4.734e+00 1.981e+00 2.390 0.03586 *
obesity0.155 3.197e+00 1.977e+00 1.617 0.13408
obesity0.156 1.827e+00 1.955e+00 0.934 0.37017
obesity0.17100000000000001 3.519e+00 1.977e+00 1.781 0.10258
obesity0.186 3.557e+00 1.969e+00 1.806 0.09828 .
obesity0.19500000000000001 5.375e+00 2.287e+00 2.350 0.03849 *
obesity0.19700000000000001 6.011e+00 1.755e+00 3.426 0.00566 **
obesity0.19900000000000001 6.358e+00 1.682e+00 3.780 0.00305 **
obesity0.20100000000000001 4.607e+00 2.070e+00 2.225 0.04793 *
obesity0.20200000000000001 4.593e+00 1.986e+00 2.313 0.04111 *
obesity0.20399999999999999 6.548e+00 2.058e+00 3.182 0.00873 **
obesity0.20499999999999999 2.316e+00 1.968e+00 1.177 0.26404
obesity0.20599999999999999 6.388e+00 2.094e+00 3.051 0.01103 *
obesity0.20799999999999999 5.589e+00 1.962e+00 2.849 0.01584 *
obesity0.21199999999999999 5.011e+00 1.719e+00 2.914 0.01408 *
obesity0.215 5.179e+00 1.961e+00 2.640 0.02299 *
obesity0.216 5.808e+00 2.036e+00 2.853 0.01571 *
obesity0.221 6.461e+00 1.738e+00 3.719 0.00339 **
obesity0.222 4.208e+00 2.086e+00 2.017 0.06877 .
obesity0.223 5.280e+00 1.702e+00 3.103 0.01006 *
obesity0.22500000000000001 5.613e+00 1.943e+00 2.888 0.01476 *
obesity0.22600000000000001 5.221e+00 2.631e+00 1.984 0.07272 .
obesity0.22700000000000001 6.660e+00 1.976e+00 3.371 0.00625 **
obesity0.23100000000000001 4.020e+00 1.644e+00 2.445 0.03256 *
obesity0.23599999999999999 3.309e+00 1.982e+00 1.670 0.12315
obesity0.23799999999999999 6.396e+00 1.965e+00 3.256 0.00766 **
obesity0.24399999999999999 4.317e+00 1.968e+00 2.193 0.05067 .
obesity0.246 5.666e+00 1.975e+00 2.869 0.01527 *
obesity0.247 2.860e+00 1.972e+00 1.450 0.17489
obesity0.249 3.609e+00 1.959e+00 1.842 0.09252 .
obesity0.25 4.997e+00 1.961e+00 2.548 0.02709 *
obesity0.253 5.835e+00 2.300e+00 2.537 0.02764 *
obesity0.25600000000000001 2.896e+00 1.964e+00 1.475 0.16832
obesity0.25700000000000001 5.039e+00 1.967e+00 2.561 0.02646 *
obesity0.25800000000000001 5.739e+00 1.972e+00 2.911 0.01417 *
obesity0.26 4.137e+00 1.961e+00 2.110 0.05862 .
obesity0.26100000000000001 4.639e+00 1.714e+00 2.707 0.02039 *
obesity0.26300000000000001 3.862e+00 1.980e+00 1.950 0.07710 .
obesity0.26400000000000001 4.976e+00 1.717e+00 2.898 0.01449 *
obesity0.26900000000000002 2.475e+00 1.966e+00 1.259 0.23394
obesity0.27 5.391e+00 1.985e+00 2.716 0.02007 *
obesity0.27800000000000002 4.434e+00 1.678e+00 2.642 0.02292 *
obesity0.27900000000000003 2.974e+00 1.980e+00 1.502 0.16130
obesity0.28000000000000003 6.740e+00 1.960e+00 3.438 0.00554 **
obesity0.28299999999999997 5.446e+00 1.937e+00 2.812 0.01692 *
obesity0.28899999999999998 5.892e+00 1.885e+00 3.125 0.00966 **
obesity0.28999999999999998 3.124e+00 2.110e+00 1.480 0.16692
obesity0.29399999999999998 5.316e+00 2.046e+00 2.598 0.02479 *
obesity0.29799999999999999 8.028e+00 3.014e+00 2.664 0.02205 *
obesity0.30399999999999999 5.697e+00 1.976e+00 2.884 0.01487 *
obesity0.308 1.685e+00 2.056e+00 0.820 0.42982
obesity0.317 4.027e+00 2.058e+00 1.956 0.07629 .
obesity0.32 4.215e+00 2.013e+00 2.094 0.06025 .
obesity0.32100000000000001 4.488e+00 1.938e+00 2.316 0.04087 *
obesity0.32500000000000001 4.049e+00 1.980e+00 2.045 0.06551 .
obesity0.33700000000000002 4.618e+00 2.063e+00 2.239 0.04679 *
obesity0.35099999999999998 4.612e+00 2.146e+00 2.149 0.05473 .
obesity0.35399999999999998 4.987e+00 2.014e+00 2.476 0.03077 *
obesity0.35499999999999998 1.061e+00 1.969e+00 0.539 0.60079
obesity0.36199999999999999 3.435e+00 3.270e+00 1.051 0.31599
obesity0.379 5.456e+00 1.997e+00 2.732 0.01951 *
obesity2.1000000000000001E-2 -5.874e-01 1.980e+00 -0.297 0.77222
obesity27.4% 3.912e+00 1.958e+00 1.998 0.07103 .
obesity3.5999999999999997E-2 4.831e+00 2.691e+00 1.795 0.10007
obesity3.9E-2 -2.153e+00 9.219e+00 -0.234 0.81966
obesity4.2999999999999997E-2 1.338e+00 2.787e+00 0.480 0.64061
obesity4.4999999999999998E-2 2.248e+00 2.090e+00 1.076 0.30512
obesity5.2999999999999999E-2 1.473e+00 1.732e+00 0.850 0.41326
obesity5.3999999999999999E-2 -1.262e+00 2.009e+00 -0.628 0.54265
obesity5.5E-2 1.629e+00 1.980e+00 0.823 0.42793
obesity5.6000000000000001E-2 1.619e+00 1.976e+00 0.820 0.42984
obesity5.8000000000000003E-2 2.267e+00 1.743e+00 1.301 0.21999
obesity6.0999999999999999E-2 1.288e+01 9.958e+00 1.293 0.22240
obesity6.2E-2 -8.178e+00 8.496e+00 -0.963 0.35643
obesity6.4000000000000001E-2 4.044e+00 2.060e+00 1.963 0.07539 .
obesity6.9000000000000006E-2 2.687e+00 2.474e+00 1.086 0.30060
obesity7.0999999999999994E-2 2.913e+00 1.997e+00 1.459 0.17259
obesity7.1999999999999995E-2 2.594e-01 1.977e+00 0.131 0.89800
obesity7.6999999999999999E-2 2.147e+00 1.976e+00 1.086 0.30050
obesity7.8E-2 3.326e+00 2.010e+00 1.655 0.12621
obesity8.1000000000000003E-2 3.341e+00 1.980e+00 1.688 0.11954
obesity8.3000000000000004E-2 2.413e+00 1.979e+00 1.219 0.24821
obesity8.4000000000000005E-2 2.010e+00 1.974e+00 1.018 0.33046
obesity8.5999999999999993E-2 3.062e+00 1.708e+00 1.793 0.10053
obesity8.6999999999999994E-2 2.904e+00 1.975e+00 1.470 0.16962
obesity8.7999999999999995E-2 3.501e+00 1.973e+00 1.775 0.10361
obesity8.8999999999999996E-2 1.736e+00 2.532e+00 0.685 0.50727
obesity9.5000000000000001E-2 3.553e+00 1.981e+00 1.794 0.10033
obesity9.6000000000000002E-2 1.909e+00 1.973e+00 0.967 0.35410
obesity9.9000000000000005E-2 3.453e+00 1.980e+00 1.744 0.10898
malep 5.456e-06 2.073e-05 0.263 0.79726
elderlyp 3.854e-08 9.296e-08 0.415 0.68642
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.357 on 11 degrees of freedom
(3 observations deleted due to missingness)
Multiple R-squared: 0.9467, Adjusted R-squared: 0.4716
F-statistic: 1.993 on 98 and 11 DF, p-value: 0.1021
It's currently interpreting each value of obesity as a separate state. Change obesity from factor to numeric.
This must be a homework, there was another question just like it. The probability of that out in the wild is nearly zero.
Solution: your data has characters, so you need to remove those before converting to numeric. See the example above.
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Actually, the data look like it has scientific notation, so you don't want to remove the E. In R scientific notation is represented with a small e. In other words, 9.9e2 or 9.9e-2.
A simple solution for your data is to multiply by 1:
> 9.9000000000000005E-2*1
[1] 0.099
# or
df2 <- df %>% mutate(obesity = obesity*1)
Although, I would confirm with the person who put the data together if this was explicit, or if it was just the way that R read the data. Understanding your data is the most important thing before starting any analysis.
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