Panel data analysis examining interactive effects between high-danger shots, rebounds, and secondary skills on NHL goal production using fixed-effects regression (2020-2025)

This is a short tutorial on how to fit overlap weight models.

Milestone Report Coursera

MLR_EDA

The "Average Viewing Time by Genre & Plan" chart shows Action,Drama reaching 160 minutes, indicating deep viewer engagement for that genre combination. This supports the FMEA insight that some content types are indeed driving retention and should be prioritized. However, if metadata for such high-performing content is missing or incomplete—as seen in the NA analysis—it limits discoverability and weakens analytics. For decision-makers, this emphasizes the need to safeguard and spotlight well-performing genres through better labeling, recommendations, and promotional focus.

The **Monthly Subscriber Trend** shows a significant spike in new sign-ups around **May 21**, indicating a successful campaign, content drop, or seasonal appeal. This surge is promising, but the FMEA warns that without strong content engagement and complete metadata, retention risks remain high. If the new subscribers encounter missing episode data or low-performing original content, churn may quickly follow. Decision-makers should capitalize on this acquisition momentum by ensuring high-quality, well-labeled content and reinforcing viewer engagement strategies immediately after sign-up.