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
Related reference
Available in Analyse-it Editions
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Method Validation edition
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Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
