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16
(Korrelationskoeffizient r)
(Luftdruck bei 18°C)
18
(Temperatur bei 1000 hPa)
1000
Quadratische Regression
l Die Regressionsformel für die quadratische Regression lautet:
y = A+Bx+Cx
2
l Geben Sie die Daten mit folgender Tastenfolge ein.
<x−Daten>
<y−Daten>
l Beispiel:
xi
yi
29 1.6
50 23.5
74 38.0
103 46.4
118 48.0
Geben Sie den REG−Modus ein (quadratische Regression)
Speicher löschen:
29 1.6 50 23.5
74 38.0 103 46.4
118 48.0
(Regressionskoeffizient A)
(Regressionskoeffizient B)
(Regressionskoeffizient C)
(t wenn xi = 16)
16
(p wenn yi = 20)
20
(r wenn yi = 20)
Vorsichtsmaßnahmen bei der Dateneingabe
l Mit werden die gleichen Daten zweimal eingegeben.
l Gleiche Daten können mit mehrfach eingegeben werden.
Wenn Sie die Zahlen "20 und 30" z. B. 5−mal eingeben möchten,
drücken Sie 20
30 5 .
0.982607368
1007.48
4.642857143
Führen Sie die quadratische Regression durch,
um die Bedingungen für die Regressionsformel
und den Korrelationskoeffizienten für ähnliche
Daten zu bestimmen. Verwenden Sie die
Regressionsformel anschließend, um die Werte
für t (geschätzter y−Wert) für xi = 16 und p
(geschätzter x−Wert) für yi = 20 zu schätzen.
118.
REG
−35.599856934
1.495939413
−6.71629667
−03
−13.38291067
47.14556728
175.5872105
16


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