Binary Fitted Line Plot
Analysis of Deviance Table - P-Values
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Binary Fitted Line PlotAnalysis of Deviance Table - P-Values |
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The analysis of deviance table shows the amount of variation in the response data explained by the predictors and the amount of variation left unexplained.
The p-value is the most important result to consider. Use the p-value to analyze whether the regression coefficient is significantly different from zero. If the p-value is smaller than a pre-selected a-level, you can deduce that at least one coefficient is not zero. A commonly used a-level is 0.05.
Example Output |
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Deviance Table
Source DF Adj Dev Adj Mean Chi-Square P-Value Regression 1 2.333 2.333 2.33 0.127 Length 1 2.333 2.333 2.33 0.127 Error 56 65.991 1.178 Total 57 68.324 |
Interpretation |
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The p-value for Length is 0.127, indicating that Length is not significantly different from zero at the 0.05 level of significance.
