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I-29
Coefficiente di determinazione =
0,965517241
A X r r 3 K =
Covarianza del campione =
35
E A U r 3 ,
A U 3 - A X 1 -
A X r 1 F \
E A U 3 , 1 F =
uRegressione logaritmica, esponenziale, di
potenza, e inversa
•Utilizzare le stesse operazioni con i tasti come per la
regressione lineare, per richiamare i risultati per questi
tipi di regressione.
•Il seguito mostra le formule di regressione per ciascun
tipo di regressione.
uRegressione quadratica
La formula di regressione per la regressione quadratica
è:
y = A + Bx + Cx
2
.
Esempio:
Eseguire la regressione quadratica per
determinare i termini della formula
di regressione per i dati indicati qui
accanto. Seguentemente, utilizzare la
formula di regressione per stimare i
valori per
n (valore stimato di y) per xi =
16 e per
m (valore stimato di x) per yi =
20.
Nel modo REG:
r
3
(Quad)
A B 1
(Scl) = (Stat clear)
29
P 1.6 S 50 P 23.5 S
74 P 38.0 S 103 P 46.4 S
118 P 48.0 S
Coefficiente di regressione A =
–35,59856934
A X r r 1 =
Regressione logaritmica y ҃ A ѿ B
ؒ
In x
Regressione esponenziale y ҃ A ؒ e
B
·
x
(In y ҃ In A + Bx)
Regressione di potenza
y ҃ A ؒ
x
B
(In y ҃ In A + BIn x)
Regressione inversa y ҃ A ѿ B
ؒ
1
/x
x
i
y
i
29 1,6
50 23,5
74 38,0
103 46,4
118 48,0
31


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