I am trying to figure out what statistical analysis I need to do to explore the relationship between Year and Day of First Appearance, and Year and Day of Peak Abundance. I have been using R Studio however I am not very confident with statistic. So far, I have tried a generalised linear model for Year ~ Day of First Appearance

Data Loaded:

'data.frame': 55 obs. of 2 variables:

$ Year: int 1932 1939 1948 1950 1952 1956 1957 1959 1960 1966 ...

$ Day : int 105 20 57 63 23 2 47 4 114 6 ...

> glmLA summary(glmLA)

Call:

glm(formula = Year ~ Day, family = poisson, data = FirstApperance)

Deviance Residuals:

Min 1Q Median 3Q Max

-1.1778 -0.3436 0.1506 0.3625 0.7262

Coefficients:

Estimate Std. Error z value Pr(>|z|)

(Intercept) 7.598e+00 4.643e-03 1636.541

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