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As you can see, the R-Squared resulting in 0.289 ~ 28.9% fits with the data. This means that ~70% still do not fit with the data, which means that the model does not explain a lot of the variation in the data. However, I should enhance the model prediction by adding more variables or adjusting several codes.
This Linear Regression model resulting a gap prediction for the BMI index concerning to s5 feature (TG - Triglycerides).
Linear Regression Model
R Squared Result
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