![Learn About Time Series ARIMA Models in SPSS With Data From the NOAA Global Climate at a Glance (1910–2015) - SAGE Research Methods Learn About Time Series ARIMA Models in SPSS With Data From the NOAA Global Climate at a Glance (1910–2015) - SAGE Research Methods](https://methods.sagepub.com/images/virtual/time-series-arima-in-noaa-climate-1910-2015/10.4135_9781473995321-fig15.jpg)
Learn About Time Series ARIMA Models in SPSS With Data From the NOAA Global Climate at a Glance (1910–2015) - SAGE Research Methods
![SOLVED:We have a further utput with some information missing) from R based on the same data: checkresiduals(Arimaly, order-c(1,0,0))) Ljung-Box test data: Residuals from ARIMA(1,0,0) with non-zero mean Q* 4.9797 , df 6, SOLVED:We have a further utput with some information missing) from R based on the same data: checkresiduals(Arimaly, order-c(1,0,0))) Ljung-Box test data: Residuals from ARIMA(1,0,0) with non-zero mean Q* 4.9797 , df 6,](https://cdn.numerade.com/ask_images/eb23afc4c4ca407fbedd2d1d107a6e79.jpg)
SOLVED:We have a further utput with some information missing) from R based on the same data: checkresiduals(Arimaly, order-c(1,0,0))) Ljung-Box test data: Residuals from ARIMA(1,0,0) with non-zero mean Q* 4.9797 , df 6,
![Timeseries: sig. Ljung-box Q, but residuals normally distributed | Statistics Help @ Talk Stats Forum Timeseries: sig. Ljung-box Q, but residuals normally distributed | Statistics Help @ Talk Stats Forum](http://i.imgur.com/UByWw.jpg)