Simple regression models

Simple regression models describe the relationship between a single predictor variable and a response variable.

Name	Model	Purpose
Line	Y=b₀+b₁x	Fit a straight line.
Polynomial	Y=b₀+b₁x+b₁x2....	Fit a polynomial curve. Polynomials are useful when the function is smooth, a polynomial of a high enough degree estimates any smooth function. Polynomials are used as approximations and rarely represent a physical model.
Logarithmic	Y=b₀+ b₁Log(x)	Fit a logarithmic function curve.
Exponential	Y=a*b₁x	Fit an exponential function curve.
Power	Y=a*x^b₁	Fit a power function curve.

Related tasks

Fitting a simple linear regression

Related reference

Advanced models

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