Use the sm$.$OLS function to create a model object to fit y to x$,$ and assign the result to the variable model. Also pass in the option missing$=$'drop' to drop any observations with missing data in either x or y$.$ As before, you might find it useful to consult the statsmodels documentation on OLS.

Call the fit method on model to fit the model to the data, and store the output in results

Print the results of the fit, by calling the results.summary method.Plot the model results via a call to sm$.$graphics.abline$\_$plot, passing in the results object computed above in the model$\_$results option, and assign the plot output to the variable fig

Extract the relevant plotting axes with the following expression: ax $=$ fig.axes$[0]$

Call the method ax$.$scatter with two arguments to plot Happiness versus LogGDP $($recall that LogGDP is now a particular column in the variable x that you have created: x$[\text{'}$LogGDP$\text{'}])$