TABLE OF CONTENTS PROBLEM A...................................................................................................................................3 PROBLEM B...................................................................................................................................4 PROBLEM C...................................................................................................................................5 REFERENCES................................................................................................................................6
PROBLEM A 1. Regression Null hypothesis (H0): There is no significant difference in the mean value of tariff rates and average demand of energy bars. Alternative hypothesis (H1): There is a statistical significant difference in the mean value of tariff rates and average demand of energy bars. SUMMARY OUTPUT Regression Statistics Multiple R 0.0067 29 R Square 4.53E- 05 Adjusted R Square - 0.0525 8 Standard Error 25.191 92 Observations21 ANOVA dfSSMSF Signific ance F Regression1 0.54595 1 0.54 5951 0.00 086 0.97690 7 Residual19 12058.0 3 634. 6329 Total20 12058.5 7 Coeffi cients Standar d Errort Stat P- value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 114.70 7 20.0045 6 5.73 4042 1.59 E-05 72.8369 7 156.5 77 72.836 97 156.57 7
Tariff rate on imports of energy bars - 0.0764 32.60595 - 0.02 933 0.97 6907 - 5.53075 5.377 883 - 5.5307 5 5.3778 83 By doing assessment it has found that tariff rates do not have significant impact on demand for energy bars. Referring this, it can be presented that tariff rates will not place direct and significant impact on demand pertaining to energy bars in Atolia. Thus, impact of offering products at another store is lower on demand. PROBLEM B 1. Interpretation: Outcome of statistical evaluation shows that assessed p value is higher than the standard value such as 0.05. Referring this, it can be presented that null hypothesis is true and other one false. Hence, statistical assessment clearly exhibit that tariff rates or aspects do not have significant impact on annual average demand of energy bars per person. 2. Graphical presentation
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PROBLEM C 1. Benefits of Free trade There are various benefits, which will be beneficial for trading between two countries- 1. Reduced tariff barriers- It is advantageous for Industrial economy to trade with Atollia because reduction in tariff leads to decrease prices and consumers are benefited. Imports prices will gradually decrease and hence, customers may be benefited. 2. Increased exports- Exports would increase by leads to overall enhancement in the economic growth. This will also help in decreasing unemployment rate of a country. 3. Economies of scale-
Specialisinginparticularcommoditieswillbehelpfulforcountryasitincreases competitive advantages by lowering costs and more efficiency in exports leading to increase benefits for the economy (Benefits of free trade.2017). Here, Comparative Advantage Theory can be explained, which means to specialise commodities in countries having low opportunity cost, and economic welfare of all countries can be increased in a better way. Free trade is helpful to countries in specialising in commodities in that items in which comparative advantage is seen for them. It can be analysed as per the result ofregressionanalysis;tariffrateshavenosignificantinfluenceonenergybars.Hence, Government of Industrial can be benefited by having agreement with Atollia for increased economic growth. The regression results provide that Multiple R is 0.0067 which means that no correlation exists between variables. While, R square is 0.000045 clarifying 0 % of regression line fits model. Adjusted R square is -0.5 which is negative means that R square is zero reflected in calculation and model is poor in fitting for data. Standard error is 25.19 showing deviation is much from the mean. The information is carried out by total of 21 observations in sample. Hence, by complying with linear regression equation, no significant difference is found between variables.