📚 node [[serial correlation in data]]
Serial Correlation in Data
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Are the future values driven by the past values?
Can we look at past values to predict future values?
need to use the right kind of analysis
Regression Result Intrepretation
Look at X value
It has a positive and statistically signficant relationship with future values
WHEN
The #T-stat is greater than 1.5 and the #P-value is less than 0.1.
This can be confirmed by looking at the coefficient for the X variable. If it is small (say 0.002), then that means a rise of 1 in the target value leads to only a 0.002 rise in the x value.
This tells us there's correlation, but doesn't give us the tool to figure out how to predict future values.
📖 stoas
- public document at doc.anagora.org/serial-correlation-in-data
- video call at meet.jit.si/serial-correlation-in-data
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