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Ordinary Least Squares Regression algorithm
fails to find the regression line if the dataset doesn't meet specific requirements
always finds the regression line which minimizes the sum of squares of differences between the actual value and the predicted value
always finds the regression line which minimizes the sum of absolute values of differences between the actual value and the predicted value
requires that the data should follow the normal distribution
always finds the regression line which represents best the actual trend in the dataset
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