Creating a report

Continue with the research question you had chosen in class.

Use AI iteratively to help you create a report.

Important

AI is your assistant, use it as input not as output. Don’t submit an AI-generated report as such, always author, review, edit.

Tasks

Option A (easy)

Think in terms of two variables (\(x\) and \(y\)).
- Pick a single variable or a combined index of variables
- Pick a GDP variable
- Think about a causal link.
Create one carefully designed graph to illustrate the relationship (Graph 1)
At each step, explain your choices/decisions (ie why you chose a certain variable)
Create a Conclusion paragraph where you summarize your work and results in 80-100 words.

Option B (advanced)

In addition to the tasks in Option A, create another graph to show heterogeneity of country size groups using population (Graph 2)
Run a regression and interpret the coefficient.

To submit

Submission 1: Submit a maximum 1-1.5 page report in .pdf format (including exhibits) (lastname_firstname_dawai_week03_report.pdf) (12p)
Submission 2: Submit your code (or aprovide a link). (4p)
Submission 3: What advice would you give to a fellow data analysis student on using AI to create a report? (lastname_firstname_dawai_week01_advice.txt) (4p)
- List 2–3 pieces of advice based on your own experience using AI for this specific task.

Important:

Upload your report to the student folder called Reports at moodle or similar service if applicable. This is for the next class
Important: Do not use AI to help you generate the advice. We want to hear your personal examples and reflections, not AI-generated suggestions.
Next class in the first 20 mins each group will read another groups report and discuss the good and bad aspects of the report.

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title: "Creating a report"
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Continue with the research question you had chosen in class. 

Use AI iteratively to **help** you create a report. 

**Important** 

* AI is your assistant, use it as input not as output. Don't submit an AI-generated report as such, always author, review, edit. 

### Tasks

**Option A (easy)**

  * Think in terms of two variables ($x$ and $y$). 
    * Pick a single variable or a combined index of variables
    * Pick a GDP variable
    * Think about a causal link. 
  * Create one carefully designed graph to illustrate the relationship (Graph 1)
  * At each step, explain your choices/decisions (ie why you chose a certain variable)
  * Create a Conclusion paragraph where you summarize your work and results in 80-100 words.
   
  
**Option B (advanced)**

* **In addition to the tasks in Option A**,  create another graph to show heterogeneity of country size groups using population (Graph 2)
* Run a regression and interpret the coefficient. 

### To submit

* Submission 1:  Submit a maximum 1-1.5 page report in .pdf format (including exhibits) (lastname_firstname_dawai_week03_report.pdf) (12p)
* Submission 2: Submit your code (or aprovide a link). (4p)
* Submission 3:
  What advice would you give to a fellow data analysis student on using AI to create a report? (lastname_firstname_dawai_week01_advice.txt) (4p)
    * List 2–3 pieces of advice based on your own experience using AI for this specific task.
    
**Important:** 

* Upload your report to the `student folder called Reports` at moodle or similar service if applicable. This is for the next class
* Important: Do not use AI to help you generate the advice. We want to hear your personal examples and reflections, not AI-generated suggestions.
*  Next class in the first 20 mins each group will read another groups report and discuss the good and bad aspects of the report.