In the US, population data is collected by the Census Bureau every 10 years. In some states, annual population data is collected and analyzed for population growth. California is one of those states. Using annual population data reported for California, compare the arithmetic, the geometric, and the logistic curve approaches to population forecasting for California. To begin you will need to gather annual population data for California (searching “Census data California” should put you on the right track; follow the Labor Market lead for example). You will find annual data from 1991 to 2017. Next, analyze that annually reported data using (a) the arithmetic method; (b) the geometric method; and (c) the logistic curve approach. Your solution should include all supporting and formatted graphics/tables, sample calculations, etc. for your work (remember please, graphs and tables are not used to present results, only to supports your findings/work). At minimum you should include the following graphs: California’s Annual Population Data A graph to support your arithmetic model fit/analysis A graph to support your geometric model fit/analysis Graphs to support your logistic curve fit/analysis including your validity check Finally, a graph including the reported population data comparing the model results of the three models tested would be superb! Which model (explain) do you feel provides the best population forecasting approach for Califo