Life Expectancy Changes and COVID-19 Statistics: Linear Regression Summary

Yuta Okada's dataset summarizes a linear regression analysis of life expectancy changes from 2020 to 2021 and from 2021 to 2022 in relation to COVID-19 statistics. The dataset is a 5.5 KB XLS file last updated on April 29, 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Model the relationship between COVID-19 statistics and life expectancy changes based on the described regression analysis.
• Analyze temporal trends in life expectancy during the pandemic years 2020-2022.
• Validate or compare regression models for pandemic-related mortality impacts using the provided summary statistics.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly focuses on a specific public health analysis covering the years 2020 to 2022.
• Shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a summary of an analysis, not the underlying raw data.

Provenance

Source

figshare, author Yuta Okada

Collection Method

Likely contains summary statistics from a linear regression analysis.

Time Range

Covers analysis periods from 2020 to 2021 and 2021 to 2022.

Freshness

Last updated 2026-04-29 17:38:57; freshness should be verified.