Update bayesian_regression.ipynb
"### Dataset \n",
"\n",
"The following example is adapted from \\[1\\]. We would like to explore the relationship between topographic heterogeneity of a nation as measured by the Terrain Ruggedness Index (variable *rugged* in the dataset) and its GDP per capita. In particular, it was noted by the authors in \\[2\\] that terrain ruggedness or bad geography is related to poorer economic performance outside of Africa, but rugged terrains have had a reverse effect on income for African nations. Let us look at the data and investigate this relationship. We will be focusing on three features from the dataset:\n",
+ "\n",
" - `rugged`: quantifies the Terrain Ruggedness Index\n",
" - `cont_africa`: whether the given nation is in Africa\n",
" - `rgdppc_2000`: Real GDP per capita for the year 2000\n",
