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Regression and Correlation are two very important statistical tools used widely to analyze the data. Regression analysis is the mathematical process of using observations to find the line of best fit through the data in order to make estimates and predictions about the behavior of the variables. This line of best fit may be linear (straight) or curvilinear to some mathematical formula.
Correlation analysis is the process of finding how well (or badly) the line fits the observations, such that if all the observations lie exactly on the line of best fit, the correlation is considered to be 1 or unity.
This presentation provides very brief data about the topic and describes the impacts and implementations of correlation and regressions.



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