COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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actual value of y and the estimated value of y
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actual value of x and the estimated value of x
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actual value of y and the estimated value of x
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actual value of x and the estimated value of y
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Detailed explanation-1: -The residual for each observation is the difference between predicted values of y (dependent variable) and observed values of y . Residual=actual y value−predicted y value, ri=yi−^yi.
Detailed explanation-2: -In regression, the residual is the difference between the actual value dependent variable and the predicted value of the dependent variable. That is, residual is the difference between the actual Y value and the predicted Y value. Hence, the correct option is b).
Detailed explanation-3: -The difference between the actual value of the dependent variable y (in the sample date) and the predicted value of the dependent variable ^y obtained from the linear regression equation is called the error or residual.
Detailed explanation-4: -True The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.
Detailed explanation-5: -Error is a measure of the estimated difference between the observed or calculated value of a quantity and its true value.