The linear regression model provides insights into the factors influencing overall life satisfaction. Here are the key findings:
- Financial Status (FStatus): This factor has a significant positive impact on life satisfaction (p-value < 0.001). This suggests that individuals with a better financial status tend to have higher life satisfaction.
- Depression: This factor has a significant negative impact on life satisfaction (p-value < 0.001). Higher levels of depression are associated with lower life satisfaction.
- Gender and Perception: These factors show a marginal significance (p-value < 0.1), indicating a potential influence on life satisfaction, but not as strong as financial status or depression.
Other factors such as Age, Race, Marital Status, Health, Esteem, Weight, and Overweight did not show a statistically significant impact on life satisfaction in this model.
The model's R-squared value is 0.263, indicating that approximately 26.3% of the variance in life satisfaction is explained by the factors included in the model.
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