APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Residuals are . . .
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possible models not explored by the researcher
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variation in the response variable that is explained by the model
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the difference between the observed response and the values predicted by the model
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data collected from individuals that is not consistent with the rest of the group
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Explanation:
Detailed explanation-1: -A residual is the difference between an observed value of the response variable and the value predicted by the regression line. Regression coefficients are used to predict the response variable based on the explanatory variable.
Detailed explanation-2: -True The residual is the difference between the observed value of the dependent variable and the predicted value of the dependent variable.
Detailed explanation-3: -The observed value is a rate of a particular healthcare treatment, the predicted is the expected rate given the value of the independent variables.
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