Autocorrelation of the residuals - corrgram function
Hello, can someone help me a bit with corrgram function (or brush up my theoretical knowledge). If I do corrgram on residuals of the 1-step ahead forecasts what does Prob>Q for lags 1 and 2 say? Or how to interpret these results?
LAG AC PAC Q Prob>Q [Autocorrelation] [Partial Autocor]
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1 -0.0085 -0.0085 1.902 0.1679 | |
2 0.0017 0.0016 1.9777 0.3720 | |
3 -0.0799 -0.0799 170.12 0.0000 | |
4 -0.0324 -0.0340 197.78 0.0000 | |
5 -0.0306 -0.0313 222.46 0.0000 | |
6 0.0014 -0.0057 222.51 0.0000 | |
7 0.0265 0.0213 240.93 0.0000 | |
8 0.0478 0.0429 301.15 0.0000 | |
LAG AC PAC Q Prob>Q [Autocorrelation] [Partial Autocor]
-------------------------------------------------------------------------------
1 -0.0085 -0.0085 1.902 0.1679 | |
2 0.0017 0.0016 1.9777 0.3720 | |
3 -0.0799 -0.0799 170.12 0.0000 | |
4 -0.0324 -0.0340 197.78 0.0000 | |
5 -0.0306 -0.0313 222.46 0.0000 | |
6 0.0014 -0.0057 222.51 0.0000 | |
7 0.0265 0.0213 240.93 0.0000 | |
8 0.0478 0.0429 301.15 0.0000 | |
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