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This report details the analysis of the data of 13 clients of a company. The data contain information about factors believed by the company to affect an individual’s level of income; these factors are years of work experience, years of post-16 education, number of previous jobs and income level of the individuals. As part of QBT (an acronym for quantitative techniques in business), correlation analysis as well as regression analysis have been carried on the given data and conclusions and recommendations have been made from the results of the analysis. Correlation is a technique used as a measure of how strong the association between two variables is. Regression is employed to determine the relationship or association between a dependent variable and an dependent variable. Examining the data obtained from the analysis (graphs, correlation and regression results), it can be concluded that experience and education are significant factors which mainly affect the income level of an individu

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