diff --git a/stackoverflow-survey.ipynb b/stackoverflow-survey.ipynb
index 103029e..5f514c4 100644
--- a/stackoverflow-survey.ipynb
+++ b/stackoverflow-survey.ipynb
@@ -149,22 +149,12 @@
     "        self.devs = devs.drop(indices)\n",
     "        del devs, new_column\n",
     "    \n",
-    "    def visualize(self, n_lowest=0, \n",
-    "                  hue=\"Country\", palette=sb.color_palette() ):    \n",
+    "    def visualize(self,  hue=\"Country\", \n",
+    "                  palette=sb.color_palette() ):    \n",
     "        self.canvas = plt.figure()\n",
     "        key_x = self.key_x\n",
     "        key_y = self.key_y\n",
     "\n",
-    "        if n_lowest > 0:\n",
-    "            # chatgpt draws my line\n",
-    "            # Calculate the lowest nth point (for example, the 5th lowest value)\n",
-    "            # iloc[-1] gets the last element from the n smallest\n",
-    "            lowest_nth = self.devs[key_y].nsmallest(n_lowest).iloc[-1]  \n",
-    "            # Draw a horizontal line at the lowest nth point\n",
-    "            # label=f'Lowest {n_poorest}th Point: {lowest_nth_value:.2f}'\n",
-    "            plt.axhline(y=lowest_nth, color='purple', linestyle='--', \n",
-    "                        label=\"y=%0.2f\" % lowest_nth, zorder=-1 )\n",
-    "\n",
     "        sb.scatterplot(data=self.devs, x=key_x, y=key_y, hue=hue, palette=palette)\n",
     "        plt.legend(loc='lower center', bbox_to_anchor=(1.5,0)) \n",
     "        title = \"Annual Salary of %s Developers Over Years of Experience\" % self.language\\\n",
@@ -200,10 +190,12 @@
     "        print(\"sample predictions:\")\n",
     "        print(y_pred[3:6])\n",
     "        print(\"+----------------------+\")\n",
-    "    \n",
-    "        plt.figure(self.canvas)\n",
+    "        b = model.intercept_[0]\n",
     "\n",
+    "        plt.figure(self.canvas)\n",
     "        plt.plot(X_test, y_pred, color=line_color, label='Regression Line')\n",
+    "        plt.axhline(y=b, color=\"purple\", linestyle='--', \n",
+    "                    label=\"b=%0.2f\" % b, zorder=-1 )\n",
     "        plt.legend(loc='lower center', bbox_to_anchor=(1.5,0)) \n",
     "        del y_pred, model\n",
     "\n",
@@ -280,7 +272,7 @@
     " #        \"Product manager\"\n",
     "]\n",
     "c = Foo(so_df, \"C\", jobs=cjobs, n_rich_outliers=30, n_poor_outliers=2)\n",
-    "c.visualize(n_lowest=7, hue=\"DevType\", palette=[\"#57e6da\",\"#d9e352\",\"#cc622d\"] ) \n",
+    "c.visualize(hue=\"DevType\", palette=[\"#57e6da\",\"#d9e352\",\"#cc622d\"] ) \n",
     "c.run_regression()\n",
     "c.run_regression(x_transform=log_base_a, change_base=1.3, \n",
     "                 x_shift=2, y_shift=-5000, line_color=\"magenta\", random=555)\n",