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# model_parameters.ggeffects
Code
print(params)
Output
# Species = setosa
Petal.Length | Predicted | 95% CI
----------------------------------------
1.00 | 4.79 | [4.36, 5.21]
2.50 | 5.59 | [4.97, 6.21]
4.00 | 6.40 | [4.99, 7.80]
7.00 | 8.00 | [4.96, 11.05]
# Species = versicolor
Petal.Length | Predicted | 95% CI
---------------------------------------
1.00 | 3.26 | [2.53, 4.00]
2.50 | 4.49 | [4.10, 4.89]
4.00 | 5.72 | [5.61, 5.83]
7.00 | 8.17 | [7.52, 8.83]
# Species = virginica
Petal.Length | Predicted | 95% CI
---------------------------------------
1.00 | 2.05 | [1.26, 2.85]
2.50 | 3.54 | [2.99, 4.08]
4.00 | 5.03 | [4.69, 5.36]
7.00 | 8.00 | [7.57, 8.42]
Adjusted for:
* Petal.Width = 1.20
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