This notebook extends the regression analysis from Week 8 by expanding the simple linear regression model and applying diagnostic tools to evaluate whether the model's assumptions are reasonably met. In Week 8, a simple linear regression was fit using data_products_score as the sole predictor of overall_score. That model explained approximately 67% of the variation in overall statistical performance across countries. This week, 1–3 additional variables are introduced to improve the model, and the 5 diagnostic plots discussed in class are used to assess its validity. The central goal is to ensure that any conclusions drawn from the model rest on a valid foundation. The dataset is the World Bank Statistical Performance Indicators dataset, a longitudinal country-level dataset covering 217 countries from 2004 to 2023. The analysis continues to use the 2023 cross-sectional snapshot.

intro to data science

Tugas Komputasi Statisika_5003251189_Beatrisia Kaylla Simanjuntak

Nama : Aila Rahima Qanita Heruningtyas NRP : 5003251056

ACM td3