## Advanced Statistics - Biology 6030 |

## Bowling Green State University, Fall 2017 |

[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive] Nominal logistic regression measures the probability of choosing a specific response level depending on a facor (independent variable). The y-axis of the probability plot shows smooth curves that partition the total probability (=1) among the various response levels. If the lines that separate different response levels are mostly vertical then knowledge about x will give us good predictability of Y. It the lines are mostly horizontal then the probabilities remain the same for a response across the entire factor ran

**characterize the relationship**between a ordinal or nominal dependent and a continuous independent variable to determine the extent, direction, and strength of the association**seek a quantitative formula**that predicts the probability to obtain a particular response value as a function of the factor

- Caveat:
**causality**is the assumption not the conclusion

**independent**variable: i.e., X, continuous factor**dependent**variable: i.e., Y, nominal or ordinal response variable.- use
**-LogLikelihood Measures**for finding the probabilities for obtaining a particular response value for a given factor

last modified: 2/4/08

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