Q2 Connecting data with model predictions Go to Our World in Data and the area with various information on annual hours worked per capita and GDP per capita. Choose one country, other than the UK or US, and the longest time period possible, given the data, for that country. Make sure you can get data for both variables for the same country and timeperiod. 3) Download the data and produce a line chart that shows hours worked and GDP per capita over time (using primary and secondary axis). Explain how 1the relationship has varied over time in your chosen country. One way of interpreting the data is that is reveals information on choices that workers made about hours worked considering what was feasible and what their preferences were between free time (not working) and consumption (requiring income from work). Plotting free time per day on the Xaxis and goods per day on the Yaxis, use illustrative indifference curves and a feasible set to explain how a representative worker, who was able to do 50, makes their choice about the hours to work in a day. Imagine the diagram you drew in part (b) represents a worker's decision in the first year of your data. Describe, using your diagrammatic model, what factors that affect the feasible set and/or preferences of a worker might have changed to explain the changes in hours worked in the last year of your data (eg, prices, wages, availability of new leisure activities). If the data has not changed over time, explore whether this may have arisen even in the presence of changes in underlying factors that affect the feasible set and/or preferences