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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*xb1 Fit a power function curve.
Related tasks
Fitting a simple linear regression
Related reference
Advanced models
Available in Analyse-it Editions
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Ultimate edition

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  •  Pareto analysis
  •  Study Designs
  •  Bibliography



Version 6.15
Published 18-Apr-2023
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Statistical analysis and method validation software for Microsoft Excel.

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