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A random dataset given by a linear function with noise (gradient and y-intercept of the linear function are randomised as is distribution of x values).
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England schools
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England university
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Scotland schools
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said | Ready to use | 1 year, 7 months ago |
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Will Rushworth 1 year, 7 months ago
Published this.Will Rushworth 1 year, 7 months ago
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Will Rushworth 1 year, 7 months ago
Created this as a copy of Random data set - linear relationship with noise.Name | Status | Author | Last Modified | |
---|---|---|---|---|
Random data set - linear relationship with noise | draft | Christian Lawson-Perfect | 01/03/2024 14:11 | |
PHY1030 Python assignment | Ready to use | Will Rushworth | 11/09/2024 12:34 |
There are 3 other versions that do you not have access to.
Name | Type | Generated Value |
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xs | list |
List of 30 items
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||||
ys | list |
List of 30 items
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gradient | number |
1.2
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intercept | integer |
47
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noise_variance | number |
25
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es | list |
List of 30 items
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n | integer |
30
|
Generated value: list
[ 2.568, 39.051, 42.745, 67.447, 15.157, 70.566, 16.018, 60.698, 68.842, 9.671, 16.930, 65.411, 93.214, 70.412, 25.719, 20.470, 64.194, 7.740, 98.194, 8.583, 59.756, 62.766, 88.252, 12.192, 34.956, 38.598, 42.224, 74.525, 16.886, 88.858 ]
← Depends on:
- n
→ Used by:
- ys
This variable doesn't seem to be used anywhere.
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