The Balassa index as a m easure of RCA , however , is not spared of ! possible distortions arising kayoed of such factors a competitive policies and practices in the exporting country and the trade barriers which are instituted to protect foreign markets (Institute for cope and moneymaking(prenominal) Diplomacy , 2004Methodology for Chapter 3 : Pearson Correlation , Regression Coefficient and descriptive StatisticsIn Chapter 3 , the Pearson correlativity was utilized to find the degree to which the following pairs of variables are linearly related (a monthly charge and mass of digital subscriber line subscription (b ) intensity level of DSL subscription and vivify of connection (c ) glitz of DSL subscription and the quite a little of exports in OECD member-countries , and (d ) volume of broadband subscription and volume of exports to the Middle East (including IranThe correlativity coefficient is a number amongst -1 and 1 which indicates the degree of linear relationship between have words variables (Easton McColl , 2004 ) which in t his study was tested at a 0 .05 level of significance . Table 1 presents a tabular matter of the range of values of the Pearson Coefficient and their corresponding interpretation (Monzon-Ybasez , 2003Table 1 . definition of the Correlation CoefficientCoefficient Range Interpretation0 .00 - - 0 .20 - 0 .20 - - 0 .40 - 0 .40 - - 0 .70 - 0 .70 - - 0 .90 - 0 .90 - - 1 .00 rebuff correlation almost negligible relationshipLow correlation baseborn relationshipModerate correlation relationship substantialHigh correlation marked relationship punctilious high correlation Very dependable relationship The relapsing coefficient was calculated to measure the correlation between the two variables viz. , monthly charge and speed of connection , on the hooklike variable which...If you want to deal a full essay, sound out it on our website: OrderEssay.net
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