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Potenzregression
Umgekehrte Regression
Quadratische Regression
l Die Dateneingabe beginnt immer mit , um den
statistischen Speicher zu löschen.
l Die von einer Regressionsrechnung erzeugten Werte hängen von
den eingegebenen Werten ab und die Ergebnisse können mit den
Tastenkombinationen der nachfolgenden Tabelle aufgerufen werden.
Regressionskoeffitient A
Regressionskoeffitient B
Regressionskoeffitient C
Korrelationskoeffizient r
(Schätzwert von x) p
(Schätzwert von y) t
Lineare Regression
Die Regressionsformel für die lineare Regression ist: y = A+Bx.
Beispiel 1.:
Luftdruck gegenüber Temperatur
Temperatur
Luftdruck
10°C 1003 hPa
15°C 1005 hPa
20°C 1010 hPa
25°C 1011 hPa
30°C 1014 hPa
REG−Modus eingeben (Lineare Regression):
Speicher löschen:
10 1003 15 1005
20 1010 25 1011
30 1014
(Regressionskoeffizient A)
(Regressionskoeffizient B)
Führen Sie die lineare Regression durch, um
die Bedingungen für die Regressionsformel
und den Korrelationskoeffizienten für
ähnliche Daten zu bestimmen. Verwenden
Sie die Regressionsformel anschließend, um
den Luftdruck bei 18°C und die Temperatur
bei 1000 hPa zu schätzen.
30.
REG..............
997.4
0.56
15


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