Asked by Peyton Bowers on Jun 24, 2024
Verified
What is the distance between each data point and the regression line called?
A) error in prediction
B) standard error of the estimate
C) standard deviation
D) standardized error
Error In Prediction
The difference between the observed score (Y) and the predicted score.
Standard Error
A measure of the statistical accuracy of an estimate, indicating the variability of sampling distributions.
- Understand the connection between the correlation coefficient and prediction error.
Verified Answer
TJ
Tiffany JonesJun 28, 2024
Final Answer :
A
Explanation :
The distance between each data point and the regression line is referred to as the "error in prediction" or simply "error." This measures the discrepancy between the actual observed values and the values predicted by the regression model.
Learning Objectives
- Understand the connection between the correlation coefficient and prediction error.
Related questions
If the Absolute Value of the Correlation Is Very Close ...
If the Absolute Value of the Correlation Is 0 ...
If One Variable Can Be Reliably Predicted from Another Variable,what ...
If the Correlation Between Children's Intelligence and Their Creativity Is ...
If the Correlation Between Children's Body Weight and Their Reading ...