Regressione Lineare
Equazione retta
y = 1.990909x + 0.08
Pendenza (m)
1.990909
Intercetta (q)
0.08
Coefficiente R²
0.999529
Correlazione (r)
0.999764
Covarianza
18.25
Domande Frequenti
Regressione lineare semplice
Cosa indica R²?
R² (coefficiente di determinazione) misura la frazione di varianza di Y spiegata dal modello lineare. Va da 0 a 1: 1 = adattamento perfetto, 0 = nessuna relazione lineare.
Differenza tra correlazione e regressione?
La correlazione misura la forza e direzione della relazione lineare (simmetrica, -1 a +1). La regressione modella Y come funzione di X e fornisce un’equazione predittiva.
How many points does a linear regression need?
At least two, and the X and Y series have to be the same length. With fewer than two values, or series of different length, the calculation stops and a warning appears.
What does the R² coefficient mean?
R² is the share of the variation in Y explained by the regression line, and it runs from 0 to 1. Close to 1 the points sit almost on the line, close to 0 the linear relation is weak.
How should the X and Y values be entered?
In two separate fields, split by comma, space or semicolon. Decimals use a full stop, and anything that is not a number is ignored by the calculation.