MLR Model Summary for Upper Limb Muscle Activity Analysis

5.5 KB of statistical model summaries for seven upper limb muscles, including m. brachioradialis and m. biceps brachii. The dataset, authored by Frida Torell and last updated in June 2026, contains results from multiple linear regression (MLR) models. It includes metrics like R² and Q², with a note on statistical significance thresholds.

Use Cases

• Comparing model fit (R²) and predictive performance (Q²) across different upper limb muscles.
• Identifying statistically non-significant muscle models based on the described R²-Q² difference threshold.
• Benchmarking simple linear regression (SLR) against multiple linear regression (MLR) for specific muscles like the biceps brachii.

Strengths

• Includes results for seven specific upper limb muscles with standardized abbreviations.
• Provides a clear statistical significance criterion (R²-Q² difference > 0.3).
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Frida Torell via figshare

Collection Method

Likely derived from experimental biomechanics or physiology research involving muscle activity measurement.

Freshness

Last updated 2026-06-01 17:47:18; freshness should be verified.