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Suhas Pathak, Co-Founder Unnat-e SysTech Pvt Ltd.

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Pearson's Correlation Coefficient

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Linear regression: The appearance of presence and strength of a linear relationship or correlation between two quantitative variables. A linear regression can be tested by calculating the correlation coefficient (r) between variables. This approach is one of (many) tools for data analysis. A caveat however, correlations don't always correspond to actual, causal, linked relationships - they may simply be coincidental. Pearson's correlation coefficient is calculated as the ratio of covariance between two sets of paired data values, easily represented visually as a scatter plot. In essence it is a line fitted to a cloud plot of points, data pairs along two axes (x and y). This test assumes that a linear dependence can be fitted between pairs of x & y values on the scatter plot. (review the Wikipedia article  for examples of false correlations). Note, it ignores sequence importance (for example if a third property/value like time is recorded). It simply focuses on whether value...
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