Assertion: regression's variable | /r/HasProperty | added
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Source sentences:
text: For example, if one is trying to predict the sales of a model of car from the car's gas mileage, price, and engine power, one can include such irrelevant factors as the first letter of the model's name or the height of the lead engineer designing the car because the R2 will never decrease as variables are added and will probably experience an increase due to chance alone.
text: The optimal value of the objective is weakly smaller as more explanatory variables are added and hence additional columns of X {\displaystyle X} (the explanatory data matrix whose ith row is X i ) are added, by the fact that less constrained minimization leads to an optimal cost which is weakly smaller than more constrained minimization does.
text: R Square always goes up when a new variable is added, whether or not the new input variable improves the Regression equation’s accuracy.
text: At each stage in the process, after a new variable is added, a test is made to check if some variables can be deleted without appreciably increasing the residual sum of squares (RSS).