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When Measuring accuracy, it is necessary
to test for auto-correlation within the errors. Auto-correlation occurs
when there is dependence between the successive error values, which
is also called a serial correlation. Durbin Watson is the most widely
used statistic to determine random errors. The Durbin Watson statistic
always lies between 0 and 4. If it is closer to zero, it indicates
a positive auto-correlation. A value close to 4 indicates negative
auto-correlation. A value close to 2 tends to reinforce the conclusion
that no correlation exists among the error. Therefore values below
2 represent positive serial correlation amongst the errors and values
above 2 represent negative serial correlation amongst the errors.
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