| LinearRegression Class |
The LinearRegression class performs a simple linear regression
on an set of N data points (Yi, Xi).
That is, it fits a straight line Y = α + β X,
(where Y is the response variable, X is the predictor variable,
α is the Y-intercept, and β is the Slope)
that minimizes the sum of squared residuals of the linear regression model.
It also computes associated statistics, including the coefficient of
determination R2 and the standard deviation of the
estimates for the slope and Y-intercept.
Inheritance HierarchyNamespace: Algs4Net
Assembly: Algs4Net (in Algs4Net.dll) Version: 1.0.0.0 (1.0.0.0)
SyntaxC#
public class LinearRegression
The LinearRegression type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | LinearRegression |
Performs a linear regression on the data points (y[i], x[i]). |
Properties| Name | Description | |
|---|---|---|
 | Intercept |
Returns the Y-intercept α of the best of the best-fit line Y = α + β X. |
| InterceptStdErr |
Returns the standard error of the estimate for the intercept. |
| R2 |
Returns the coefficient of determination R2. |
| Slope |
Returns the slope β of the best of the best-fit line Y = α + β X. |
| SlopeStdErr |
Returns the standard error of the estimate for the slope. |
Methods| Name | Description | |
|---|---|---|
 | MainTest |
Demo test the LinearRegression data type. |
| Predict |
Returns the expected response y given the value of the predictor
variable x. |
| ToString |
Returns a string representation of the simple linear regression model. (Overrides ObjectToString.) |
See Also