From ad95e8def131d45f925dd31eed48371587b18895 Mon Sep 17 00:00:00 2001
From: Mirko Birbaumer <mirko.birbaumer@hslu.ch>
Date: Mon, 31 Mar 2025 09:27:39 +0000
Subject: [PATCH] added conclusions to LR_7_2
---
notebooks/Linear Regression/LR_7_2.ipynb | 36 +++++++++++++++++++++++-
1 file changed, 35 insertions(+), 1 deletion(-)
diff --git a/notebooks/Linear Regression/LR_7_2.ipynb b/notebooks/Linear Regression/LR_7_2.ipynb
index a868167..3801238 100644
--- a/notebooks/Linear Regression/LR_7_2.ipynb
+++ b/notebooks/Linear Regression/LR_7_2.ipynb
@@ -29,7 +29,9 @@
"cell_type": "code",
"execution_count": 5,
"id": "a76946c6-bb24-4032-9b40-35a2303dec27",
- "metadata": {},
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [
{
"name": "stdout",
@@ -53,6 +55,14 @@
"print(werbung.head())"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "c83160ba-4388-46e2-9655-94a97ddfc42f",
+ "metadata": {},
+ "source": [
+ "Wir ermitteln den $ R^{2} $-Wert zuerst für das lineare Regressionsmodell mit den Prädiktorvariablen `TV`, `Radio` und `Zeitung`:"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 6,
@@ -152,6 +162,14 @@
"print(\"R²:\", r2)"
]
},
+ {
+ "cell_type": "markdown",
+ "id": "67580aab-6f1d-47ac-bace-3212033a0e40",
+ "metadata": {},
+ "source": [
+ "Nun bestimmen wir den $R^2$ Wert für das lineare Regressionsmodell mit den Prädiktorvariablen `TV` und `Radio`:"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 9,
@@ -249,6 +267,22 @@
"r2 = 1 - (ss_residual / ss_total)\n",
"print(\"R²:\", r2)"
]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c52232c9-90eb-4fed-ae84-35b29d30f6c6",
+ "metadata": {},
+ "source": [
+ "Die beiden Modelle haben beinahe den identischen $R^2$-Wert, d.h., wir können auf die Prädiktorvariable `Zeitung` ohne Einbusse an der Güte des Modells verzichten."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d07bbeb8-05d2-4e61-a806-b9dbce147722",
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
--
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