Asked by Mitchell Brooks on Jun 07, 2024

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When the actual values y of a dependent variable and the corresponding predicted values When the actual values y of a dependent variable and the corresponding predicted values   are the same, the standard error of estimate   will be 0.0. are the same, the standard error of estimate When the actual values y of a dependent variable and the corresponding predicted values   are the same, the standard error of estimate   will be 0.0. will be 0.0.

Standard Error

The standard deviation of the sampling distribution of a statistic, commonly used to measure the accuracy of sample-based estimates of a population parameter.

Dependent Variable

The variable in an experiment or study that is expected to change as a result of changes in the independent variable.

Predicted Values

The values estimated using a statistical model or algorithm, representing the expected outcome.

  • Understand the principle of minimizing errors in regression analysis and the fundamentals of the least squares method.
  • Comprehend the idea behind sum of squares in regression analysis and its consequences.
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Unathi SilingaJun 10, 2024
Final Answer :
True
Explanation :
The standard error of estimate measures the variation or scatter of the actual values around the predicted values. If the actual values and predicted values are exactly the same, there will be no variation or scatter, and therefore the standard error of estimate will be 0.0.