enlinearegresion11:   Regresi�n linear con una variable independiente;  ⇒   y = f(x)

Fórmulas

β = [Σ(xy)-(ΣxΣy)/n]/{Σ(x2)-[(Σx)2/n]}

α = [Σy-(βΣx)]/n

Bibliografía

Ponce, V. M. 2014. Engineering Hydrology, Principles and Practices.
DATOS DE ENTRADA:

Tama�o de la matriz n:     

Pares de valores y y x de la matriz (separe cada valor con una coma, longitud m�xima 300 caracteres).

y:     

x:     

REPETICIÓN DE LOS DATOS DE ENTRADA:

n =  

y(1) =  .   

x(1) =  .   

RESULTADOS:

α =       β =       desviaci�n est�ndar sx =       desviaci�n est�ndar sy =

Coeficiente de correlaci�n r =       error de estimaci�n est�ndar se =

            

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online calc
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normal depth in culvert critical depth in culvert discharge in culvert discharge sluice discharge weir
M1 wsprofile M2 wsprofile M3 wsprofile S1 wsprofile S2 wsprofile S3 wsprofile
C1 wsprofile H2 wsprofile A2 wsprofile C3 wsprofile H3 wsprofile A3 wsprofile
sequent depth HJ energy loss HJ initial sequent HJ efficiency HJ critical width constriction
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Froude number Vedernikov number Limiting contracting ratio
Creager rational slope-area linear reservoir storage indication 1 storage indication 2
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Gumbel Gumbel 2 Log Pearson Log Pearson 2 TR-55 graphical curve number
Overland flow using the diffusion wave method Dynamic hydraulic diffusivity convolution S-hydrograph time of concentration water balance
UH cascade dimensionless UH cascade general UH cascade series UH cascade all series UH cascade
one-predictor linear one-predictor nonlinear two-predictor linear two-predictor nonlinear hyperbolic regression
fall velocity Lane & Koelzer USLE USLE2 Dendy-Bolton Shields
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