## Abstract

An alternative graphical method, called the SSR plot, is proposed for use with a multiple regression model. The new method uses the fact that the sum of squares for regression (SSR) of two explanatory variables can be partitioned into the SSR of one variable and the increment in SSR due to the addition of the second variable. The SSR plot represents each explanatory variable as a vector in a half circle. Our proposed SSR plot explains that the explanatory variables corresponding to the vectors located closer to the horizontal axis have stronger effects on the response variable. Furthermore, for a regression model with two explanatory variables, the magnitude of the angle between two vectors can be used to identify suppression.

Original language | English (US) |
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Pages (from-to) | 726-735 |

Number of pages | 10 |

Journal | Communications in Statistics: Simulation and Computation |

Volume | 39 |

Issue number | 4 |

DOIs | |

State | Published - Apr 2010 |

### Bibliographical note

Funding Information:This article was supported by Samsung Research Fund, Sungkyunkwan University, 2009.

## Keywords

- Coefficient of determination
- Correlation
- Geometry
- SSR
- Suppression