In the seventh part in the Open Science series I looked at the UK mid-2011 Census and obtained the data below which represents the summed male and female figures for the UK population from ages 16 through to 44*.
Data for this group and the 45-65 year age group are graphed in Figure 1.
Figure 1: Summation of male and female figures for each age from mid-2011 Census. Red bars represent the age group 45-65 and the blue bars represent the age group 16-44
The next stage is to try and model this data. Looking at the blue bars in the graph above, it looks as though there is some periodicity in the data. This isn’t a great approximation but the bimodal distribution can be seen below where the peaks and troughs of the data are shown by the horizontal black lines.
In the previous post I looked at a discontinuous function to describe the data
1. For X = 16-18, Y = 700,000
2. For X = 19-32, Y = 770,000
3. For X = 33-35, Y = 700,000
4. For X = 36-45, Y = 770,000
I was originally looking for some sine or cosine functions to describe the data but didn’t come up with any solutions. So this time I turned to Wolfram Alpha. I subscribed to the Pro account and fed the data through (cut and paste) and with the click of a button the program performed several analyses of the data. The software completed a regression analysis and came up with the following values with a 99% confidence interval
α = 683649 +/- 24641
β = 2492 +/- 791
where y = β x + α
So in summary, for the UK mid-2011 census data the population can be modelled with the equation
y = 2492 x + 683649
x = age in years
y = population for each age
There are different ways to model the data varying from polynomial equations including the above through to discontinuous functions. The Wolfram Alpha analysis improves on the previous model. By using this equation we can do some further useful analysis.
*Part of the 7th post is reproduced here including the data
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