The difference between a actual value and the estimate is called: *
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Explanation:
The difference between the actual value or observed value and the predicted value is called the residual in regression analysis
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The difference between a actual value and the estimate is called residual regression analysis.
Definition of Residual Regression analysis;
Residual Regression analysis- the number obtained from the actual and the estimated or observed value.
Features of Residual Regression analysis;
- Residual regression analysis is measured by the point that is far away from the vertical to the regression line.
- The error usually represents between teh predicted and observed value.
- It is generally used for the residual graphs and linear regression model.
- The role is to determine and examine the residual plot graphs.
Therefore, Residual regression analysis is used for determining the actual and the estimate value.
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