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Pearson Correlation EssayThe regression coefficient was calculated to measure the correlation mingled with the two variables namely, monthly charge and speed of connection, on the qualified variable which is the volume of DSL subscription. Regression coefficient is a constant which represents the rate of change of one variable, which in this dissertation is the volume of DSL subscription, as a function of changes in the other variables, namely monthly charge and speed of connection (Kachigan, 1991).Descriptive statistics were used to explain the statistical indicators of the following variables (a) DSL monthly charge in OECD member countries, (b) DSL speed of connection in OECD member-countries, and (c) volume of DSL subscription in the light of the problem under study. The descriptive measures twisting the following three major characteristics of each the above-mentioned variables distribution, central tendency and the dispersion or variability. The distribution couplingm arizes the frequency of individual set or ranges of values for each variable.The central tendency of the distribution is an estimate of the center of a distribution of values. Three major types of estimates of central tendency are the mean, which is simply the sum of all the individual values divided by the number of values the median, which is the score found at the middle of the values arranged either from highest to last(a) or lowest to highest and the mode which is the most frequently occurring value in the set of info (Trochim, 2006 Sternstein, 2005).Dispersion, on the other hand refers to the spread of the values well-nigh the central tendency, measured either using the range and the measure deviation. The range is simply the difference between the highest and lowest values in the distribution whereas the standard deviation shows the relation that a set of values has to the mean of the sample, its numerical value indicating how one specific value in the distribution is clu stered virtually or is scattered from the mean of the distribution (Trochim, 2006 Freund Williams, 1983).Methodology for Chapter 4 Pearson Correlation and Descriptive Statistics In Chapter 4, the Pearson correlation was utilized to find the degree to which the following pairs of variables are linearly associated (a) GDP and Internet usage, GDP and mobile phone usage and GDP and fixed phone usage (b) population and Internet usage in Middle East, (c) population and mobile usage in Middle East, and (d) population and fixed phone usage in Middle East.Interpretation of the specific relationships between the aforementioned pairs of variables was facilitated using Table 1 on page 2. Descriptive statistics were used to discuss the statistical indicators of the following variables (a) fixed telephones in the 30 provinces of Iran, (b) data network capacity in 30 provinces of Iran, and (c) mobile penetration in 30 provinces of Iran.The same statistical descriptors outlined in Chapter 3 wer e adopted for Chapter 4.REFERENCES Asian Development Bank. (2007). Aggregate Measures of Competitiveness. Retrieved December 31, 2007, from adb. org http//www. adb. org/documents/books/ADO/2003/part3_3-3. asp. Easton, V. J. , McColl, J. H. (2004). Statistics Glossary Paired data, correlation regression. Retrieved December 31, 2007, from Statistical Education Through Problem Solving