b. The odds ratios that result for investigating poor physical health are: Non-overweight: Reference Overweight: 1.08 (0.99-1.17) Obese: 1.21 (1.09-1.33) Severely Obese: 1.87 (1.64-2.12) Provide a conclusion. Be sure to include a discussion of statistical inference.

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**b. Analysis of Odds Ratios for Poor Physical Health:**

The odds ratios for various weight categories related to poor physical health are presented below:

- **Non-overweight:** Used as the Reference category.
- **Overweight:** Odds Ratio of 1.08, with a 95% confidence interval of (0.99-1.17).
- **Obese:** Odds Ratio of 1.21, with a 95% confidence interval of (1.09-1.33).
- **Severely Obese:** Odds Ratio of 1.87, with a 95% confidence interval of (1.64-2.12).

**Conclusion and Discussion of Statistical Inference:**

[Note: This section should provide a detailed conclusion based on the above findings, discussing statistical significance, the implications of the confidence intervals, and how they relate to the weight categories and the risk of poor physical health. The interpretation of these odds ratios in a real-world context and potential interventions could also be included for more comprehensive insights.]
Transcribed Image Text:**Transcription for Educational Website:** **b. Analysis of Odds Ratios for Poor Physical Health:** The odds ratios for various weight categories related to poor physical health are presented below: - **Non-overweight:** Used as the Reference category. - **Overweight:** Odds Ratio of 1.08, with a 95% confidence interval of (0.99-1.17). - **Obese:** Odds Ratio of 1.21, with a 95% confidence interval of (1.09-1.33). - **Severely Obese:** Odds Ratio of 1.87, with a 95% confidence interval of (1.64-2.12). **Conclusion and Discussion of Statistical Inference:** [Note: This section should provide a detailed conclusion based on the above findings, discussing statistical significance, the implications of the confidence intervals, and how they relate to the weight categories and the risk of poor physical health. The interpretation of these odds ratios in a real-world context and potential interventions could also be included for more comprehensive insights.]
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