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This is a Quantitative Study study.

A Comparison of Multivariate Adaptive Regression Spline and Spline Nonparametric Regression on Life Expectancy in Indonesia

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The MARS model achieved a lower mean squared error of 1.183 compared to the spline model, demonstrating its effectiveness.
Key variables affecting life expectancy include access to housing and clean water, reflecting important socioeconomic factors.
Utilizing data from the Indonesian Central Agency of Statistics, the study highlights the need for effective policymaking.
The findings suggest government strategies should focus on basic needs access to enhance life expectancy in Indonesia.

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Quantitative study shows MARS model improves life expectancy outcomes in Indonesia, indicating socioeconomic factors influence health.

Pratama et al. (2025) studied this question.

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