Best Answer

It measures the error or variability in predicting Y.

Q: What does the multiple standard error of estimate measure?

Write your answer...

Submit

Still have questions?

Continue Learning about Statistics

Standard error is a measure of precision.

Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.

The standard score associated with a given level of significance.

Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.

Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.

Related questions

It is found by calculating SSR/SS total

Standard error is a measure of precision.

I do not know 825 but RSE The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

If you're using the bureau of labor statistics, like i am, the bottom of the page says this, "The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate."

Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.

Standard error is an indicator of the expected level of variation from the predicted outcome in an estimate. So even though the mean is mostly likely the outcome, the actual range the outcome could call into is a region which is measured by the standard error.

For a sample of data it is a measure of the spread of the observations about their mean value.

From what ive gathered standard error is how relative to the population some data is, such as how relative an answer is to men or to women. The lower the standard error the more meaningful to the population the data is. Standard deviation is how different sets of data vary between each other, sort of like the mean. * * * * * Not true! Standard deviation is a property of the whole population or distribution. Standard error applies to a sample taken from the population and is an estimate for the standard deviation.

Standard error is the difference between a researcher's actual findings and their expected findings. Standard error measures the accuracy of one's predictions. Standard deviation is the difference between the results of one's experiment as compared with other results within that experiment. Standard deviation is used to measure the consistency of one's experiment.

The standard score associated with a given level of significance.

Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.

Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.