14437
31
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Um diesen Wert aufzurufen:
Führen Sie diese
Tastenoperation aus:
xσ
n
-1
A X 3
p
A
X r 1
yσ
n
A X r 2
yσ
n
-1
A X r 3
Regressionskoeffizient A A X r r 1
Regressionskoeffizient B A X r r 2
Nur nicht quadratische Regression
Korrelationskoeffizient r
A
X r r 3
m
A X r r r 1
n
A
X r r r 2
•Die Werte in den obigen Tabellen können innerhalb von Ausdrücken
verwendet werden, gleich wie Sie Variable verwenden.
u Lineare Regression
•Die Regressionsformel für die lineare Regression ist: y = A + Bx.
Beispiel: Luftdruck und Temperatur
Die lineare Regression ausführen, um die Terme und
den Korrelationskoeffizienten der Regressionsformel
für die nebenstehenden Daten zu bestimmen. Danach
die Regressionsformel verwenden, um den Luftdruck
bei 18°C und die Temperatur bei 1000 hPa zu
schätzen. Zum Schluss noch das Bestimmtheitsmaß
(r
2
) und die Stichproben-Kovarianz
berechnen.
•Die folgende Tabelle zeigt die zu verwendenden Tastenoperationen für
das Aufrufen der Ergebnisse im Falle der quadratischen Regression.
Um diesen Wert aufzurufen:
Führen Sie diese
Tastenoperation aus:
Σx
3
A U r r 1
Σx
2
y A U r r 2
Σx
4
A U r r 3
Regressionskoeffizient C A X r r 3
m
1
A X r r r 1
m
2
A X r r r 2
n
A
X r r r 3
Temperatur
Luftdruck
10°C 1003 hPa
15°C 1005 hPa
20°C 1010 hPa
25°C 1011 hPa
30°C 1014 hPa
31


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