Asked by Megan Carlson on May 02, 2024
Verified
When all the actual values of y are equal to their predicted values,the standard error of estimate will be:
A) 1.0
B) −1.0
C) 0.0
D) None of these choices.
Standard Error Of Estimate
A measure of the accuracy of predictions made with a regression line, representing the typical distance between the observed values and the line.
Predicted Values
The results or outcomes forecasted by a model or algorithm based on specific input data.
- Assess the situations in which a regression model ideally matches the data set.
Verified Answer
CH
Chuck HicksMay 03, 2024
Final Answer :
C
Explanation :
When all the actual values of y are equal to their predicted values, it indicates that there is no error in the prediction, and thus the standard error of estimate will be 0.0. This is because the standard error of estimate measures the variation or deviation of the actual values from the predicted values. If there is no deviation, then the standard error of estimate will be zero.
Learning Objectives
- Assess the situations in which a regression model ideally matches the data set.
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