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The Mean Squared Error (MSE) is a measure of how close a fitted line is to data points. For every data point, you take the distance vertically from the point to the corresponding y value on the curve fit, this is known as the error, and square the value. Next you add up all those values for all data points, and divide by the number of points. The reason for squaring is so negative values do not cancel positive values. The smaller the Mean Squared Error, the closer the fit is to the data. The MSE has the units squared of whatever is plotted on the vertical axis.
For a sample of data it is a measure of the spread of the observations about their mean value.
This means there is absolutely no mistake in the data given.
It is a measure of how variable the data is. The average distance from the average.
The standard deviation.
Check the number 11 fuse under the cabin fusebox. I checked mines and it was fried. I changed it it should be an ATM 10 fuse in the 11 slot. My car works fine.
The distance travelled in any one hour is likely to be normally distributed with the mean equal to the mean distance travelled in the other hours and the standard error of this estimate will be the standard error of the distances travelled in the other hours.
it means that the server closed the connection without sending any data.
Are you sure you do not mean DCL? Data Control Link (DCL message center)
offset is the distance between the shot_point and the observing point.
it means loss of signal as distance increase July
Interval data is data divided into rangers, where the distance between intervals is the important data being looked at. In experiments this is used to help show if data's closely collected around an expected area or not.