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Diagnostics - global temperatures

You can now finish your analysis of global temperatures. Recall that you previously fit two models to the data in globtemp, an ARIMA(1,1,1) and an ARIMA(0,1,2). In the final analysis, check the residual diagnostics and use AIC and BIC for model choice.

The data are plotted for you.

This exercise is part of the course

ARIMA Models in R

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Exercise instructions

  • Fit an ARIMA(0,1,2) model to globtemp and check the diagnositcs. What does the output tell you about the model?
  • Fit an ARIMA(1,1,1) model to globtemp and check the diagnostics.
  • Which is the better model? Replace the blanks with your answer (e.g., either ARIMA(0,1,2) or ARIMA(1,1,1)).

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Fit ARIMA(0,1,2) to globtemp and check diagnostics  
 

# Fit ARIMA(1,1,1) to globtemp and check diagnostics


# Which is the better model?
"ARIMA(___,___,___)"
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