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DOC: Update the link to statsmodels package
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docs/source/learn/core_notebooks/GLM_linear.ipynb

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"cell_type": "markdown",
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"Much shorter, but this code does the exact same thing as the previous specification (you can change priors and everything else too if we wanted). `bambi` parses the `formulae` model string, adds random variables for each regressor (`Intercept` and slope `x` in this case), adds a likelihood (by default, a Normal is chosen), and all other variables (`sigma`). Finally, `bambi` then initializes the parameters to a good starting point by estimating a frequentist linear model using [statsmodels](http://statsmodels.sourceforge.net/).\n",
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"Much shorter, but this code does the exact same thing as the previous specification (you can change priors and everything else too if we wanted). `bambi` parses the `formulae` model string, adds random variables for each regressor (`Intercept` and slope `x` in this case), adds a likelihood (by default, a Normal is chosen), and all other variables (`sigma`). Finally, `bambi` then initializes the parameters to a good starting point by estimating a frequentist linear model using [statsmodels](https://www.statsmodels.org/).\n",
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"\n",
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"If you are not familiar with R's syntax, `'y ~ x'` specifies that we have an output variable `y` that we want to estimate as a linear function of `x`."
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