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PGDAV8.100 - Topic 3 & 4A: Statistical Inference and Machine Learning
Further to Topic Two, this report extend the analysis on youth employment which focused on youth aged 15 to 24 years old in New Zealand who are vulnerable to labour market distriptions due to their limited work experience and reliance on the entry level industries such as retail and hospitality (Huang,2021).The data set from Household Labour Force Survey (HLFS) dataset sourced from the Statistics New Zealand (Stats NZ,2025) was used which covers quarterly data from September 2018 to March 2025.
During the EDA in Topic Two, it has revealaed that the age group 15-19 consistently recorded a higher mean of unemployment rate which was 12.9% compared to the age group 20-24 which was 5.6% whereby both age group has experienced sharp employment declide during COVID-19 Pandameic durinc 2020 and followed by strong recovery from 2021 onwards. A moderated negative correlation (R = -0.609) was identified between employment and unemployment counts. These findings has refine the analytical questions raised and has provided the foundation for the inferential analysis in this report.