- What is the standard estimation error?
- What does +/- 2 SEM mean?
- What is an example of standard error of estimate?
What is the standard estimation error?
The standard error of the estimate is a measure of the average deviation of the errors, the difference between the ^y -values predicted by the multiple regression model and the y -values in the sample. The standard error of the estimate for the regression model is the standard deviation of the errors/residuals.
What does +/- 2 SEM mean?
For example, if a student receivedan observed score of 25 on an achievement test with an SEM of 2, the student canbe about 95% (or ±2 SEMs) confident that his true score falls between 21and 29 (25 ± (2 + 2, 4)). He can be about 99% (or ±3 SEMs) certainthat his true score falls between 19 and 31.
What is an example of standard error of estimate?
For example, you would construct a 95% confidence interval by adding and subtracting 1.96 times the standard error from the sample mean. Therefore, the 95% confidence interval for high school basketball player height would be 70.65 inches to 73.35 inches.