{
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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Linear regression\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import seaborn as sns\nsns.set_theme()\n\n# Load the penguins dataset\npenguins = sns.load_dataset(\"penguins\")\n\n# Plot sepal width as a function of sepal_length across days\ng = sns.lmplot(\n    data=penguins,\n    x=\"bill_length_mm\", y=\"bill_depth_mm\", hue=\"species\",\n    height=5\n)\n\n# Use more informative axis labels than are provided by default\ng.set_axis_labels(\"Snoot length (mm)\", \"Snoot depth (mm)\")"
      ]
    }
  ],
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