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Correlation and regression are two important statistical techniques used to study the relationship between variables. Both are widely used in business and computer applications for analysing data, making comparisons, identifying patterns and supporting managerial decision-making. However, they differ in their purpose, interpretation and method of application. Correlation measures the degree and direction of association between two variables. It indicates whether changes in one variable are related to changes in another variable. For example, in business, correlation can be used to examine the relationship between advertising expenditure and sales, employee experience and productivity, or price and demand. The correlation coefficient generally ranges from -1 to +1. A value close to +1 indicates a _________ ________ ____ _________ ____ __________ _______ ______ _________ __________ ________ __________.
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