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论文作者:英语论文论文属性:作业 Assignment登出时间:2014-10-26编辑:yangcheng点击率:14525
论文字数:3667论文编号:org201410241157115556语种:英语 English地区:美国价格:免费论文
摘要:本文是一篇分析GDP因素统计的留学生宏观经济论文,我们报道的目的是找出那些影响国家国内生产总值的的因素。在我们的报告中,我们分析了这些因素相对于印度的国内生产总值的影响。
Boeing's commercial fleet consists of 14 models spread across 5 aircraft families. It has built approximately 85% of the industry's current fleet and, until recently, regularly captured 60-80% of orders and deliveries. The flagship of the Boeing fleet, the 747-400, holds 412 passengers in the standard three-class configuration and as many as 550 in certain 'high-density,' all-coach configurations used mainly on Asia routes. More than three decades after the jumbo was introduced, demand for it remains strong. Boeing delivered 25 747's in 2000, down from47 planes in 1999, and had an order backlog for 80 more.4 At the corporate level, Boeing had revenues of $51.3 billion, net income of $2.1 billion, an equity market capitalization of $58 billion, and 198,000 employees at year-end 2000. Sales of commercial aircraft generate almost two-thirds of total revenue while sales of military aircraft, missiles, and space systems account for the rest. In addition to being the US government's second Employment ratio is an independent variable and on X-axis.
7) Conclusion
The effect of factors like employment ratio, foreign direct investment, lending interest rate and population on GDP of India are considered as important variables which we have tried to explain with the help of regression analysis and hypothesis testing. By considering the data of past 20 years we have also calculated its mean, median, mode, Variance, standard deviation (appendix 2). We have one dependent variable that is GDP and four independent variables which are FDI, employment ratio, population, and interest rate.
According to multiple regressions, the equation for the model is:
Where x1, x2, x3, x4 are the independent variable, estimated value E(y) is expected by these variable. In our report, we have taken separate simple regression models
Regression analysis cannot interpret as a procedure for establishing a cause and effect relationship between variables. It can only show that how much these variables are related or associated with each other. Regression equation tells us about mean value of y for given value of x. According to Hypothesis test, all four regression model is good model and it estimates the mean value for these independent variables with less errors. The models also shows the relationship between GDP and these independent variables and their effect on GDP. If value of these independent variables is increase by 1, we conclude how much it affects the estimated value of GDP.
Estimated value of GDP is increases by 3.60 if there is one unit increase in population