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uRegressione lineare
La formula di regressione per la regressione lineare è:
y = A + Bx.
Esempio: Relazione tra pressione atmosferica e
temperatura
Eseguire la regressione lineare
per determinare i termini della
formula di regressione ed il
coefficiente di correlazione, per
i dati indicati qui accanto. Di
seguito, utilizzare la formula di
regressione per stimare la
pressione atmosferica a 18°C e
la temperatura a 1000 hPa.
Infine, calcolare il coefficiente
di determinazione (
r
2
) e la
covarianza del campione
.
Nel modo REG:
1
(Lin)
A B 1
(Scl) =
(Stat clear)
10
P1003 S
Ogni volta che si preme S per registrare la vostra
introduzione, il numero di dati immessi fino a quel
punto viene indicato sul display (valore n).
15 P 1005 S
20 P1010 S 25 P 1011 S
30 P 1014 S
Coefficiente di regressione A =
997,4
A X r r 1 =
Coefficiente di regressione B =
0,56
A X r r 2 =
Coefficiente di correlazione r =
0,982607368
A X r r 3 =
Pressione atmosferica a18°C =
1007,48
18 A X r r r 2 =
Temperatura a 1000 hPa =
4,642857143
1000 A X r r r 1 =
Te m peratura
Pressione
atmosferica
10°C 1003 hPa
15°C 1005 hPa
20°C 1010 hPa
25°C 1011 hPa
30°C 1014 hPa
1.
n=
REG
30


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