Baysian hirerchical Linear Regression(Partial Pooling) model using PYMC

Questions version agnostic
7

@jessegrabowski @iavicenna

_, ax = plt.subplots()

x = xr.DataArray(np.linspace(-2, 2, 50), dims=["plot_dim"])
prior = idata.prior
y = prior["a"] + prior["b"] * x

ax.plot(x, y.stack(sample=("chain", "draw")), c="k", alpha=0.4)

ax.set_xlabel("Predictor (stdz)")
ax.set_ylabel("Mean Outcome (stdz)")
ax.set_title("Prior predictive checks -- Flat priors");

why they are generating x , and what this code actual use and meaning