Correct Answer - Option 3 : Conditioned equation
Explanation:
Conditioned equation:
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A conditional equation is an equation that is true for some value or values of the variable, but not true for other values of the variable.
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Therefore, the equation is a conditional equation that expresses the relation existing between the several dependent quantities.
Residual equation:
In regression analysis, the difference between the observed value of the dependent variable (y) and the predicted value (ŷ) is called the residual (e). Each data point has one residual.
Residual = Observed value - Predicted value
Normal equation:
- It is an analytical approach to Linear Regression with a Least Square Cost Function.
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We can directly find out the value of θ without using Gradient Descent.
- Following this approach is an effective and time-saving option when are working with a dataset with small features.
Observed equation:
It is an equation expressing a measured value of some function of one or more unknown quantities.
