Variable Study duration (SDURATION) Intercept Coefficient Estimate Standard Error 0.57 0.11 0.72 3.69 P Value 0.00 0.00

MATLAB: An Introduction with Applications
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Please find the odds ratio for the slope and make interpretation of results. 

**Regression Analysis Table**

This table presents the results of a regression analysis examining the relationship between study duration and an outcome variable.

| **Variable**               | **Coefficient Estimate** | **Standard Error** | **P Value** |
|----------------------------|--------------------------|--------------------|-------------|
| Study duration (SDURATION) | 0.57                     | 0.11               | 0.00        |
| Intercept                  | 3.69                     | 0.72               | 0.00        |

**Explanation:**

- **Coefficient Estimate**: The coefficient for study duration is 0.57, indicating that for each unit increase in study duration, the predicted outcome increases by 0.57 units, holding all else constant.

- **Standard Error**: This measures the average distance that the observed values fall from the regression line. For study duration, the standard error is 0.11.

- **P Value**: The P value for both the study duration and the intercept is 0.00, suggesting that these results are statistically significant at conventional levels (usually p < 0.05).

This analysis helps to understand how strongly study duration predicts changes in the relevant outcome variable.
Transcribed Image Text:**Regression Analysis Table** This table presents the results of a regression analysis examining the relationship between study duration and an outcome variable. | **Variable** | **Coefficient Estimate** | **Standard Error** | **P Value** | |----------------------------|--------------------------|--------------------|-------------| | Study duration (SDURATION) | 0.57 | 0.11 | 0.00 | | Intercept | 3.69 | 0.72 | 0.00 | **Explanation:** - **Coefficient Estimate**: The coefficient for study duration is 0.57, indicating that for each unit increase in study duration, the predicted outcome increases by 0.57 units, holding all else constant. - **Standard Error**: This measures the average distance that the observed values fall from the regression line. For study duration, the standard error is 0.11. - **P Value**: The P value for both the study duration and the intercept is 0.00, suggesting that these results are statistically significant at conventional levels (usually p < 0.05). This analysis helps to understand how strongly study duration predicts changes in the relevant outcome variable.
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