Exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in Hyndman.

Sintesi di regressione lineare applicata su modello Cobb-Douglas applicata a flussi bilaterali IDE USA-UE.

Integrantes Sara Bolívar Rodríguez - Oscar Martinez Cantillo - Veronica Vidal - Tatiana López

Stats Project 2

Tugas Analisis Data Eksploratif

Tugas Analisis Data Eksploratif Week 3

his document presents, for each STM topic (\(k = 10\)), the tweets that are **both**: - **Strongly associated with the topic**: we require a topic probability \(\gamma \ge 0.5\) for that topic. - **Highly influential in terms of engagement**: we compute an engagement score \[ \text{engagement\_score} = \text{retweet\_count} + \text{like\_count} \] using the tweet-level metadata from the social network analysis (`uniques_final_chatgpt`). For each topic, we select the **top 20 tweets** by engagement score (breaking ties by higher \(\gamma\)), and combine them into a single interactive table. This gives us a set of **influential exemplars**: tweets that not only best express each topic linguistically, but also received substantial attention in the retweet/like economy.