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Monday, February 3, 2014

China Populations Math Ia

community Trends in china Type II- Mathematical poser Sam Moghadam Introduction The opera hat graph to utilization when discussing the class of nation increase or decrease is a cattle ranch plot because it helps to show the correlational statistics between the changes of institution over a period of time. The deuce variables used in this scatter plot are the universe of discourse in millions and years. With a scatter plot, it is helpful in draft copy a line of vanquish fit to determine a one-dimensional correlation and to further predict future trends. A scatter plot suffer also show us the trend in change of Chinese population versus the population changes in the rest of the world and/or other countries. through with(predicate) and through looking at the scatter plot, we can determine the Chinese population increase, relative to the world population increase passim the 1950s till 1995 and onward to the present day and in the decades to come. Studying the data on the scatter plot, we can draw a consistent increase of Chinese population as percentage of the world population in the last two 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. race of China from 1950-1995 (#1) Year| tribe 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 shows 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| 19 60| 657.5| 1965| 729.2| 1970| 830.7| 1! 975| 927.8| 1980| 998.9|...If you want to get a full essay, drift it on our website: OrderCustomPaper.com

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