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{
    "url": "https://numbas.mathcentre.ac.uk/api/questions/12158/?format=api",
    "name": "Interpret Minitab output of AR(1) model",
    "published": true,
    "project": "https://numbas.mathcentre.ac.uk/api/projects/601/?format=api",
    "author": {
        "url": "https://numbas.mathcentre.ac.uk/api/users/697/?format=api",
        "profile": "https://numbas.mathcentre.ac.uk/accounts/profile/697/?format=api",
        "full_name": "Newcastle University Mathematics and Statistics",
        "pk": 697,
        "avatar": {
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    },
    "edit": "https://numbas.mathcentre.ac.uk/question/12158/interpret-minitab-output-of-ar-1-model/?format=api",
    "preview": "https://numbas.mathcentre.ac.uk/question/12158/interpret-minitab-output-of-ar-1-model/preview/?format=api",
    "download": "https://numbas.mathcentre.ac.uk/question/12158/interpret-minitab-output-of-ar-1-model.zip?format=api",
    "source": "https://numbas.mathcentre.ac.uk/question/12158/interpret-minitab-output-of-ar-1-model.exam?format=api",
    "metadata": {
        "notes": "<p><strong>22/03/2014:</strong></p>\n<p>Created.</p>",
        "licence": "Creative Commons Attribution 4.0 International",
        "description": "<p>Minitab was used to fit an AR(1) model to a stationary time series. Given the output answer the following questions about the model and use the model to make forecasts.</p>"
    },
    "status": null,
    "resources": []
}