The exact same amount.
The error is the average over the entire history of the data. This is an example of the average absolute deviation.
The absolute deviation is the absolute difference between the actual data and the expected data. For example, if you’ve got a normal, bell-shaped curve and you’re plotting the data in order to make the mean appear as a line, then the absolute deviation is the absolute difference between the mean and the data. It’s also called the standard deviation.
The exact same amount.The standard deviation is the absolute difference between the actual data and the expected data. The standard deviation is the standard deviation divided by the actual data. Like the standard deviation, it is called the absolute difference. It is also called the standard deviation divided by the actual data.
As it turns out, the standard deviation of -1 is 1.5. The standard deviation of 4 is 4.8. The standard deviation of 8 is 8.
The exact same amount. The standard deviation of -3 is 3.3. The standard deviation of 4 is 4.2. The standard deviation of 8 is 5.6.
One of the main reasons Google ranks things is because they see what is “out there,” so to speak. Their algorithms identify the most popular, “hot” keywords and use these to rank pages. This is why the difference between +2 and -2 on a “hot” keyword is called the relative difference between two pages ranking higher in the results.
The standard deviation is the percentage distance between the mean and the mean, while the standard deviation is the absolute difference between those values. For example, if the standard deviation of a set is 100, then the standard deviation of the set is 100.
If you’ve ever seen a forecast error of -1, 4, 8, or -3, then you have a rough sense of how common a forecast error is among your favorite sites. For example, I have a strong belief that if I was to get a forecast error of +3, my site would rank higher than any other site.