Fix plot_lm handling of multidimensional data with y_model

[uzairgheewala]

Description

Fix plot_lm functionality when using multidimensional data with y_model parameter. Previously, attempting to use plot_lm with both multidimensional y and y_model would result in dimension mismatch errors.
Also adds a test to check for the proper functioning of plot_lm when using multidimensional data with y_model parameter.
Addresses issue #1992.

Checklist

• Follows official PR format
• Includes a sample plot to visually illustrate the changes (only for plot-related functions)
• Includes new or updated tests to cover the new feature
• Code style correct (follows pylint and black guidelines)
• Changes are listed in changelog

Following problematic cases in this notebook now work: https://gist.github.com/colehaus/b2aa195687f53ef7c86eec2ebb3798c2

  # Works now with multidimensional data
  data = az.from_dict(
      observed_data = { "y": np.random.normal(size=(5, 7)) },
      posterior = {"y_model": np.random.randn(4, 1000, 5, 7)},
      dims={"y": ["dim1", "dim2"]},
      coords={"dim1": range(5), "dim2": range(7)}
  )
  # Both modes now work
  az.plot_lm(idata=data, y="y", plot_dim="dim1", y_model="y_model", kind_model="lines")
  az.plot_lm(idata=data, y="y", plot_dim="dim1", y_model="y_model", kind_model="hdi")

---

📚 Documentation preview 📚: https://arviz--2408.org.readthedocs.build/en/2408/

[codecov]

Codecov Report

Attention: Patch coverage is 98.11321% with 1 line in your changes missing coverage. Please review.

Project coverage is 86.84%. Comparing base (3205b82) to head (b421642).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
arviz/plots/backends/bokeh/hdiplot.py	80.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2408      +/-   ##
==========================================
+ Coverage   86.81%   86.84%   +0.02%     
==========================================
  Files         124      124              
  Lines       12972    13007      +35     
==========================================
+ Hits        11262    11296      +34     
- Misses       1710     1711       +1     

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[OriolAbril]

Thanks for the PR!

I did some changes to the tests so each test generates only one plot but the test cases are the same