China Populations Math Ia

community Trends in chinaware Type II- Mathematical modelling Sam Moghadam Introduction The opera hat graph to routine when discussing the ignore of nation increase or decrease is a calve plot because it helps to show the coefficient of correlational statistics between the changes of macrocosm over a period of time. The deuce variables used in this scatter plot are the existence in millions and years. With a scatter plot, it is helpful in draft copy a line of vanquish fit to determine a unidimensional correlation and to further predict future trends. A scatter plot foot also show us the trend in change of Chinese population versus the population changes in the rest of the world and/or other countries. by means of and through looking at the scatter plot, we can determine the Chinese population increase, relative to the world population increase throughout the 1950s till 1995 and onward to the present day and in the decades to come. Studying the data on th e scatter plot, we can gambol a consistent increase of Chinese population as percentage of the world population in the last the Tempter decades. The linear regression model is y=16.26x-31190. Implicating this line in the scatter plot, we can see it has a direct correlation with the actual data shown on the graph resulting in a line of best fit. tribe of China from 1950-1995 (#1) Year| universe 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 exploitation as well. This s! hows an exponential growth occurring in China from 1950-1995. The best graph to use is an scatter plot because we can intelligibly 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, companionship it on our website: OrderEssay.net

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