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- glm(formula = deaths ~ Divide + year + offset(log(population)),
- family = poisson(link = "log"), data = nsfemaleMerge)
- Deviance Residuals:
- Min 1Q Median 3Q Max
- -6.5420 -2.1335 0.4779 2.3226 5.7547
- Coefficients:
- Estimate Std. Error z value Pr(>|z|)
- (Intercept) 64.5738825 0.3792783 170.25 <2e-16 ***
- DivideSouth -0.1726417 0.0054365 -31.76 <2e-16 ***
- year -0.0348758 0.0001914 -182.23 <2e-16 ***
- ---
- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
- (Dispersion parameter for poisson family taken to be 1)
- Null deviance: 38817.15 on 103 degrees of freedom
- Residual deviance: 890.77 on 101 degrees of freedom
- AIC: 1817.8
- Number of Fisher Scoring iterations: 4
- glm(formula = deaths ~ Divide + year + offset(log(population)),
- family = quasipoisson(link = "log"), data = nsfemaleMerge)
- Deviance Residuals:
- Min 1Q Median 3Q Max
- -6.5420 -2.1335 0.4779 2.3226 5.7547
- Coefficients:
- Estimate Std. Error t value Pr(>|t|)
- (Intercept) 64.5738825 1.1243161 57.43 <2e-16 ***
- DivideSouth -0.1726417 0.0161158 -10.71 <2e-16 ***
- year -0.0348758 0.0005673 -61.47 <2e-16 ***
- ---
- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
- (Dispersion parameter for quasipoisson family taken to be 8.787408)
- Null deviance: 38817.15 on 103 degrees of freedom
- Residual deviance: 890.77 on 101 degrees of freedom
- AIC: NA
- Number of Fisher Scoring iterations: 4
- Call:
- glm.nb(formula = deaths ~ Divide + year + offset(log(population)),
- data = nsfemaleMerge, init.theta = 142.5507992, link = log)
- Deviance Residuals:
- Min 1Q Median 3Q Max
- -2.3861 -0.6426 0.1220 0.7028 2.2366
- Coefficients:
- Estimate Std. Error t value Pr(>|t|)
- (Intercept) 62.6865274 1.1806850 53.09 <2e-16 ***
- DivideSouth -0.1810315 0.0177523 -10.20 <2e-16 ***
- year -0.0339236 0.0005934 -57.17 <2e-16 ***
- ---
- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
- (Dispersion parameter for Negative Binomial(142.5508) family taken to be 1.023361)
- Null deviance: 3655.61 on 103 degrees of freedom
- Residual deviance: 104.97 on 101 degrees of freedom
- AIC: 1262.2
- Number of Fisher Scoring iterations: 1
- Analysis of Deviance Table
- Model 1: deaths ~ Divide + year + offset(log(population))
- Model 2: deaths ~ Divide + year + offset(log(population))
- Model 3: deaths ~ Divide + year + offset(log(population))
- Resid. Df Resid. Dev Df Deviance Pr(>Chi)
- 1 101 890.77
- 2 101 890.77 0 0.00
- 3 101 104.97 0 785.81
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