community Trends in China event II- Mathematical Modeling Sam Moghadam Introduction The opera hat graph to drop when discussing the skip of nation sum up or decrease is a cattle farm plot because it helps to specify the correlativityal statistics between the changes of human race over a hitch of time. The deuce variables used in this rotate plot be the people in millions and old age. With a bed covering plot, it is helpful in draft copy a line of vanquish crack to determine a analog correlation and to further calculate future slues. A scatter plot can in any case show us the trend in change of Chinese population versus the population changes in the rest of the gentleman and/or other countries. with and through looking at the scatter plot, we can determine the Chinese population add-on, relative to the world population increase passim the 1950s till 1995 and ahead to the present day and in the decades to come. Studying the data on the scatter plot, we can finesse a consistent increase of Chinese population as percentage of the world population in the last daimon decades. The additive regression imitate is y=16.26x-31190. Implicating this line in the scatter plot, we can follow up it has a direct correlation with the actual data shown on the graph resulting in a line of trounce fit. creation of China from 1950-1995 (#1) Year| people in Millions| 1950| 554.8| 1955| 609| 1960| 657.
5| 1965| 729.2| 1970| 830.7| 1975| 927.8| 1980| 998.9| 1985| 1070| 1990| 1155.3| 1995| 1290.5| The apparent trend that is shown from this graph is a linear regression. The graph shows that as the years pass, the Chinese population is evolution as well. This shows an exponential increase occurring in China from 1950-1995. The best graph to use is an scatter plot because we can distinctly see the exponential growth, efficiently and quickly. Year| Population in Millions| 1950| 554.8| 1955| 609| 1960| 657.5| 1965| 729.2| 1970| 830.7| 1975| 927.8| 1980| 998.9|...If you want to get a full essay, order it on our website: Ordercustompaper.com
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