Determinants of the Satisfaction Index: Linear Model Estimations

Determinants of the Satisfaction Index (linear model estimations) is a dataset by Laurène Petitfour, last updated on 2026-05-27. The dataset is 9.5 KB in size and is available in XLS format under a CC-BY-4.0 license. Its specific content and scope are described by the title, which suggests it contains results from linear regression modeling.

Use Cases

• Replicate linear regression analyses based on the described satisfaction index determinants.
• Benchmark new satisfaction models against the provided linear model estimations.
• Study the relationship between satisfaction and its potential explanatory variables as suggested by the dataset's title.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0).
• Includes a specific last update timestamp (2026-05-27 17:31:53).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Laurène Petitfour via figshare

Freshness

Last updated 2026-05-27 17:31:53.