Least Squares Method: What It Means, How to Use It, With Examples
Since the regression line is used to predict the value of Y for any given value of X, all predicted values will be located on the regression line, itself. Therefore, we try to fit the regression line to the data by having the smallest sum of squared distances possible contribution margin from each of the data points to …
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