Download file to see previous pages...
We apply econometric techniques over the period 1970 to 2002, involving 33 observations. In our notation, LGDP is natural logarithm (ln) of real Gross Domestic Product, LC is the log of consumption, LDI is the log of domestic investment, LX is the log of exports, LM is the log of imports, LG is the log of government expenditure and LFDI is the log of FDI. According to Gujarati (2004: 176-177), this model is called as the constant elasticity model that assumes a constant elasticity relationship between the independent variables and the dependent variable, logarithm of gross domestic product. The coefficients associated with the independent variables measure the elasticity of the dependent variable with respect to independent variables, or the percentage increase in the dependent variable (Gujarati 2004: 176). The methodology of this work is informed by the works of Woolridge 2004:2-6 as well as Gujarati 2004:10-12.
We begin with economic growth model 1 in which the national income function Y=C+I+G+(X-M). In model 1, however, I = DI + FDI where DI = domestic investment and FDI = foreign direct investment. For model 1 and for the rest of model as well, we assume the existence of constant C in the regression. Otherwise, interpretation of the regression will be different without a slope (Gujarati 2004: 167-169). We need not worry on the interpretation of the constant in a regression because it need not always have an interpretation (Gujarati 2004: 167-169).
Table 1 suggests that all regressor variables of the regression, except for LFDI and LG are significant at the 0.01 level. This means that for all coefficients, except LFDI and LG, we can reject the applicable null hypothesis that i =0 to accept alternative hypotheses that are consistent with economic theory. Based on the theory of the national income function in economics, we expect the signs to be as follows: 2>0, 3>0, 4>0, 5>0, 6>0, and 7
...Download file to see next pagesRead More
Analysis of time series data and forecasting has been used in many fields and most commonly in the stock market prediction using the past data. Time series analysis is a form of statistical data analysis on a series of sequential data points that are usually measured at uniform time intervals over a period of time.
Statistics is used in marketing, monitoring, policy development, planning of services and internal research purposes. The truth is that few of us pay attention to these statistics that seem hard to understand, let alone to interpret. Most people are interested in statistics about presidential candidates to determine who is more likely going to win.
licts with parents. However, current literature on the topic does not include adolescents with symptoms of depression severe enough to be involved in mental health care (Lichtwarck-Aschoff et al., 2009). Clinically depressed adolescents disengage during conflict with parents as a defense mechanism in order to reject any unpleasant or intense trigger that could represent a personal danger (Jackson et al., 2011).
Utilising all the observation, the statistics were calculated therefore no observation is missing. The variables provided include patient identifier (idnum), Patient’s weight at the beginning of pregnancy (kg) (Weight1), Patient’s weight at the last part of pregnancy(kg) (Weight2), Back pain throughout pregnancy?
Sampling error is the result of difference between estimation of statistics from a sample and population.
Let us take an example of purchasing the IT products in a firm. Initially, Chief Technological Office assigns the responsibility to managers for selecting ten employees so that he collects their opinion and advice on the product.
Weather Forecasting - Let us suppose that we would like to go on a picnic tomorrow morning, and the weather forecasting report says that the possibility of raining would be 80%. Do we ever wonder where that 80% came from Forecasting like these can be measured by the group who employee in the National Weather Service when they seems at all other days in their historical record that have the same weather characteristics (humidity, pressure, temperature, etc.) and conclude that on 80% of comparable days in the history, it rained.
A new formula for one type of snack food is being developed instead of the old one. The major qualitative attributes to snack food are-
A data should be collected about the opinion of the consumers regarding
Statisticians commonly try to describe the observations in a measure of location, or central tendency, such as arithmetic mean, median, mode or interquartile mean. Similarly, it is a measure of dispersion like the standard deviation,
Sample observations within each treatment are viewed as coming from populations with possibly different means. The test uses the F distribution and can handle any number of factors, but the researcher often is interested only in a few (Doane,
Data and statistical analysis about the work force may also be conducted or investigated by interested individual or group. The presented data and analysis below are derived from the research conducted from 100 respondents, whose profiles and other
1 Pages(250 words)Essay
GOT A TRICKY QUESTION? RECEIVE AN ANSWER FROM STUDENTS LIKE YOU!
Let us find you another Essay on topic Applied statistics for FREE!