query: Why does regression use least "squares" instead of least "absolute values"?
positive_passages.docid: 25296
positive_passages.text: Difference between least squares and minimum norm solution
negative_passages.docid: 8823
negative_passages.text: Why the significance of terms in orthogonal polynomial regression changes with the degree of the regression
negative_passages.docid: 92113
negative_passages.text: Local polynomial regression: Why does the variance increase monotonically in the degree?
negative_passages.docid: 47453
negative_passages.text: Why will ridge regression not shrink some coefficients to zero like lasso?
negative_passages.docid: 94552
negative_passages.text: Is it possible in R (or in general) to force regression coefficients to be a certain sign?
negative_passages.docid: 152646
negative_passages.text: OLS versus IV regression results
negative_passages.docid: 146008
negative_passages.text: Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
negative_passages.docid: 102459
negative_passages.text: Why use gradient descent for linear regression, when a closed-form math solution is available?
negative_passages.docid: 9356
negative_passages.text: Derivation of the formula for Ordinary Least Squares Linear Regression
negative_passages.docid: 44278
negative_passages.text: $R^2$ for least absolute deviation regression
negative_passages.docid: 39186
negative_passages.text: Why does linear regression use a cost function based on the vertical distance between the hypothesis and the input data point?
negative_passages.docid: 141568
negative_passages.text: Why is using centered or uncentered data equivalent in ridge regression?
negative_passages.docid: 147938
negative_passages.text: MAPE vs R-squared in regression models
negative_passages.docid: 2883
negative_passages.text: Can Tree-based regression perform worse than plain linear regression?
negative_passages.docid: 8860
negative_passages.text: Why square the difference instead of taking the absolute value in standard deviation?
negative_passages.docid: 106194
negative_passages.text: What's wrong if I fit the auto-regression with OLS?
negative_passages.docid: 50219
negative_passages.text: Centering variables in regression leads to the same model of original variables, why still doing that?