I am practicing how to make a thesis and want to learn things based on ways if a tutor explains well.

So, independent variable is GDP in each country

DATA: (https://data.oecd.org/gdp/gross-domestic-product-gdp.htm)

And dependent variable is Emissions of air pollutantsin each country

DATA: https://stats.oecd.org/Index.aspx?DataSetCode=AIR_GHG#

Reference: use data from the websites and the dates' years are between 2013 - 2018

Questions:

1.Add more independent (control) variables and compare/contrast results across models.

2.Forecasting and/or prediction.

3.Scenario analysis.

4.Add more cool charts, e.g., CI/PI butterfly.

Please check the conditions when you're done! (do NOT need to answer the below answers)

Organization and presentation ofrelevantdata:

Is the data organized and presented in a manner that makes it easy to understand for the reader?

Is the data relevant to the purpose of the project?

Recognition of appropriate statistical tools and tests:

Are the chosen statistical methods/tests relevant to the questions you are trying to answer?

Are there better methods/tests that could have been used?

Drawing conclusions with recognition of appropriateassumptionsand

limitations:

Are the conclusions backed up by the results of the statistical tests?

Do the data meet the assumptions of the particular statistical tests/methods applied?

Clear presentation of results, conclusions, andactionable intelligence:

Are the results and conclusions clearly stated?

Does the student convincingly explain how their project is related to sustainability?

Does a person explain how their results can be used by policymakers or stakeholders to improve outcomes related to sustainability?

Does a person discuss their results in the context of interconnections between environmental, social, and economic systems?