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Impact Of Global Financial Crisis On Crude Oil Prices, Stock Prices And Inflation Rates In Nigeria
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Every sample has some variation in it (unless all the values are identical, and that's unlikely to happen). The total variation is made up of two parts, the part that can be explained by the regression equation and the part that can't be explained by the regression equation
Well, the ratio of the explained variation to the total variation is a measure of how good the regression line is. If the regression line passed through every point on the scatter plot exactly, it would be able to explain all of the variation. The further the line is from the points, the less it is able to explain.
a) Adjusted R2: This is an adjustment for the fact that when one has a large number of independent variables; it is possible that R2 will become artificially high because some independent chance variations explain small parts of the variance of the dependence. The contrary would make it always 1.0. The adjustment to the formula arbitrarily lowers R2 as the numbers of independent variables increases. When used for few independent variables, R2 and adjusted R2 would always be close.
b) The Students Test of the Null Hypothesis (t-statistics): This is used to assess the significance of individual “b†coefficients, specifically testing the null hypothesis that the regression coefficient is zero. A common rule of thumb is to drop from the equation all variables not significant at the 0.05 level or better.
i. How well do the regressors, taken together to explain the variation in the dependent variable? This is assessed by the value of R2.
ii. Are the regressors, taken together, significantly associated with the dependent variables? This is assessed by the statistic F in the analysis part of the regression output.
iii. What relationship does each regressors have with the dependent variables when all other regressors are held constant? This is answered by looking at the regression coefficient.
iv. Which independent variable has the most effect on the dependent variables?
v. Are the relationships of each regressor with the dependent variables statistically significant with all other regressors taken into account? This is answered by looking at the t values in the table of regression coefficient.
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ABSRACT - [ Total Page(s): 1 ]ABSTRACTThis study explains the effects of financial crisis on crude oil prices, stock prices and inflation rates in Nigeria and the global markets. Data were obtained from major players in the financial and oil sectors of the economy. They were analyzed using statistical packages. The results showed that crude oil and stock prices were both increasing before the crisis and decreased during and after the crisis. It was also observed that the inflation rate was increasing. ... Continue reading---
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ABSRACT - [ Total Page(s): 1 ]ABSTRACTThis study explains the effects of financial crisis on crude oil prices, stock prices and inflation rates in Nigeria and the global markets. Data were obtained from major players in the financial and oil sectors of the economy. They were analyzed using statistical packages. The results showed that crude oil and stock prices were both increasing before the crisis and decreased during and after the crisis. It was also observed that the inflation rate was increasing. ... Continue reading---