diff --git a/notebooks/2_temporal-variation-in-motility-metrics.ipynb b/notebooks/2_temporal-variation-in-motility-metrics.ipynb
index 4f8a19f..8f268b1 100644
--- a/notebooks/2_temporal-variation-in-motility-metrics.ipynb
+++ b/notebooks/2_temporal-variation-in-motility-metrics.ipynb
@@ -24,7 +24,6 @@
     "from pathlib import Path\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
     "import pandas as pd\n",
     "import seaborn as sns\n",
     "from scipy import stats"
@@ -55,7 +54,7 @@
    "id": "288ceed6-1a79-4074-91f0-888af92e1bf7",
    "metadata": {},
    "source": [
-    "#### Load motility data\n",
+    "### Load motility data\n",
     "Load motility data and set parameters relevant for subsequent regression analysis."
    ]
   },
@@ -78,11 +77,11 @@
     "    \"total_time\",\n",
     "    \"total_distance\",\n",
     "    \"net_distance\",\n",
-    "    \"max_sprint_length\",\n",
     "    \"confinement_ratio\",\n",
     "    \"mean_curvilinear_speed\",\n",
     "    \"mean_linear_speed\",\n",
     "    \"mean_angular_speed\",\n",
+    "    \"max_sprint_length\",\n",
     "    \"num_rotations\",\n",
     "    \"num_direction_changes\",\n",
     "    \"pivot_rate\",\n",
@@ -90,7 +89,7 @@
     "metrics_for_plot = {\n",
     "    \"confinement_ratio\": \"Confinement ratio\",\n",
     "    \"mean_curvilinear_speed\": \"Mean curvilinear speed (µm/s)\",\n",
-    "    \"mean_angular_speed\": \"Mean angular speed (rad/s)\",\n",
+    "    \"max_sprint_length\": \"Max sprint length (µm/s)\",\n",
     "}"
    ]
   },
@@ -99,19 +98,19 @@
    "id": "b92a6b1a",
    "metadata": {},
    "source": [
-    "#### Regression analysis\n",
+    "### Regression analysis\n",
     "Generate a scatter plot that shows the variation of each specified motility metric across time. There are often multiple points per moment in time since multiple microchamber pools are present in the field of view of each time lapse."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "92286d15",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 920x339.999 with 3 Axes>"
       ]
@@ -122,7 +121,7 @@
    ],
    "source": [
     "source = motility_dataframe.copy()\n",
-    "regression_dataframe = pd.DataFrame(columns=[\"metric\", \"r_squared\", \"p_value\"])\n",
+    "regression_dataframe = pd.DataFrame(columns=[\"metric\", \"r_value\", \"r_squared\", \"p_value\"])\n",
     "\n",
     "# convert time lapse ID to time point\n",
     "time_seconds = timelapse_duration * source[\"timelapse_ID\"].values\n",
@@ -141,10 +140,11 @@
     "for i, metric in enumerate(metrics_for_regression):\n",
     "    # regression stats\n",
     "    slope, intercept, r_value, p_value, std_err = stats.linregress(time_seconds, source[metric])\n",
-    "    r_squared = np.sign(r_value) * r_value**2\n",
+    "    r_squared = r_value**2\n",
     "\n",
     "    # build up dataframe\n",
     "    regression_dataframe.loc[i, \"metric\"] = metric\n",
+    "    regression_dataframe.loc[i, \"r_value\"] = r_value\n",
     "    regression_dataframe.loc[i, \"r_squared\"] = r_squared\n",
     "    regression_dataframe.loc[i, \"p_value\"] = p_value\n",
     "\n",
@@ -157,7 +157,7 @@
     "            scatter=True,\n",
     "            x=time_seconds,\n",
     "            y=metric,\n",
-    "            line_kws={\"label\": f\"$r^2$ = {r_squared:.2f}\"},\n",
+    "            line_kws={\"label\": f\"$R^2$ = {r_squared:.2f}\"},\n",
     "            scatter_kws={\"alpha\": 0.5},\n",
     "            color=\"#F28360\",\n",
     "            ax=ax,\n",
@@ -165,7 +165,7 @@
     "        # aesthetics\n",
     "        ax.set_xlabel(\"Time (min)\")\n",
     "        ax.set_ylabel(ylabel)\n",
-    "        ax.legend(loc=1)\n",
+    "        legend = ax.legend(loc=1)\n",
     "        sns.despine(ax=ax)\n",
     "        apc.mpl.style_plot(ax, monospaced_axes=\"both\")\n",
     "\n",
@@ -176,6 +176,20 @@
     "apc.mpl.save_figure(\"../results/figure-4.svg\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "77bcdb35",
+   "metadata": {},
+   "source": [
+    "### Regression analysis interpretation\n",
+    "\n",
+    "Adapted from the [`scipy.stats.lingress`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.linregress.html) documentation.\n",
+    "\n",
+    "- `r_value`: The Pearson correlation coefficient, which indicates the strength and direction of a linear relationship.\n",
+    "- `r_squared`: The coefficient of determination, which indicates how well the independent variable explains the variance in the dependent variable.\n",
+    "- `p_value`: The p-value for a hypothesis test whose null hypothesis is that the slope is zero, using Wald Test with t-distribution of the test statistic."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -183,27 +197,132 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                    metric r_squared   p_value\n",
-      "0               total_time  0.000001  0.993133\n",
-      "1           total_distance -0.009595  0.241149\n",
-      "2             net_distance -0.002543  0.546902\n",
-      "3        max_sprint_length -0.026991   0.04831\n",
-      "4        confinement_ratio  0.011444  0.200303\n",
-      "5   mean_curvilinear_speed -0.012137  0.187122\n",
-      "6        mean_linear_speed -0.002889  0.520791\n",
-      "7       mean_angular_speed  0.005343  0.382245\n",
-      "8            num_rotations  0.016233  0.126718\n",
-      "9    num_direction_changes  0.003874  0.457043\n",
-      "10              pivot_rate  0.000549  0.779748\n"
-     ]
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>r_value</th>\n",
+       "      <th>r_squared</th>\n",
+       "      <th>p_value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>metric</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>total_time</th>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>total_distance</th>\n",
+       "      <td>-0.098</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>net_distance</th>\n",
+       "      <td>-0.050</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.547</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>confinement_ratio</th>\n",
+       "      <td>0.107</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean_curvilinear_speed</th>\n",
+       "      <td>-0.110</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean_linear_speed</th>\n",
+       "      <td>-0.054</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean_angular_speed</th>\n",
+       "      <td>0.073</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.382</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max_sprint_length</th>\n",
+       "      <td>-0.164</td>\n",
+       "      <td>0.027</td>\n",
+       "      <td>0.048</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>num_rotations</th>\n",
+       "      <td>0.127</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>num_direction_changes</th>\n",
+       "      <td>0.062</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.457</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pivot_rate</th>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.780</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        r_value  r_squared  p_value\n",
+       "metric                                             \n",
+       "total_time                0.001      0.000    0.993\n",
+       "total_distance           -0.098      0.010    0.241\n",
+       "net_distance             -0.050      0.003    0.547\n",
+       "confinement_ratio         0.107      0.011    0.200\n",
+       "mean_curvilinear_speed   -0.110      0.012    0.187\n",
+       "mean_linear_speed        -0.054      0.003    0.521\n",
+       "mean_angular_speed        0.073      0.005    0.382\n",
+       "max_sprint_length        -0.164      0.027    0.048\n",
+       "num_rotations             0.127      0.016    0.127\n",
+       "num_direction_changes     0.062      0.004    0.457\n",
+       "pivot_rate                0.023      0.001    0.780"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# show regression stats\n",
-    "print(regression_dataframe)"
+    "regression_dataframe.set_index(\"metric\").infer_objects().round(3)"
    ]
   }
  ],
diff --git a/results/figure-4.svg b/results/figure-4.svg
index 12c284f..fe90c14 100644
--- a/results/figure-4.svg
+++ b/results/figure-4.svg
@@ -6,7 +6,7 @@
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    <cc:Work>
     <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
-    <dc:date>2024-08-02T12:07:13.295671</dc:date>
+    <dc:date>2024-11-05T11:50:46.287179</dc:date>
     <dc:format>image/svg+xml</dc:format>
     <dc:creator>
      <cc:Agent>
@@ -41,7 +41,7 @@ z
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    <g id="PathCollection_1">
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-     <path id="m96d972a333" d="M 0 3 
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diff --git a/results/figure-4_regression_stats.csv b/results/figure-4_regression_stats.csv
index 6c9945a..a4aa632 100644
--- a/results/figure-4_regression_stats.csv
+++ b/results/figure-4_regression_stats.csv
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