Description Usage Arguments Value Examples

Compute power for Multiple Regression with up to Five Predictors Example code below for three predictors. Expand as needed for four or five

1 2 3 4 |

`ry1` |
Correlation between DV (y) and first predictor (1) |

`ry2` |
Correlation between DV (y) and second predictor (2) |

`ry3` |
Correlation between DV (y) and third predictor (3) |

`ry4` |
Correlation between DV (y) and fourth predictor (4) |

`ry5` |
Correlation between DV (y) and fifth predictor (5) |

`r12` |
Correlation between first (1) and second predictor (2) |

`r13` |
Correlation between first (1) and third predictor (3) |

`r14` |
Correlation between first (1) and fourth predictor (4) |

`r15` |
Correlation between first (1) and fifth predictor (5) |

`r23` |
Correlation between second (2) and third predictor (3) |

`r24` |
Correlation between second (2) and fourth predictor (4) |

`r25` |
Correlation between second (2) and fifth predictor (5) |

`r34` |
Correlation between third (3) and fourth predictor (4) |

`r35` |
Correlation between third (3) and fifth predictor (5) |

`r45` |
Correlation between fourth (4) and fifth predictor (5) |

`n` |
Sample size |

`alpha` |
Type I error (default is .05) |

Power for Multiple Regression with Two to Five Predictors

1 2 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.