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The question asks about interpreting a correlation coefficient of \(-0.29\). 

### Correlation coefficient:
- A **correlation coefficient** (\(r\)) measures the strength and direction of the linear relationship between two variables. 
- Values of \(r\) range from \(-1\) (perfect negative correlation) to \(+1\) (perfect positive correlation). 

### Interpretation of \(r = -0.29\):
- Since \(r = -0.29\) is **negative**, the relationship between the two variables is negative, meaning as one variable increases, the other tends to decrease.
- The magnitude of \(-0.29\) suggests a **weak negative correlation**, as values close to 0 represent weaker correlations.

Therefore, the correct answer is **"There is a weak negative correlation."**, which matches the option that has been selected.

Would you like more details on correlation or have any questions?

Here are 5 related questions:
1. What is a strong negative correlation?
2. How does a correlation of 0.7 differ from 0.3?
3. Can a correlation coefficient be greater than 1?
4. What is the significance of a correlation of 0?
5. How is correlation different from causation?

**Tip:** Always check if the correlation is close to 1 or -1 for strong relationships, and near 0 for weak ones.

A researcher fit a linear model to her data and calculated the correlation coefficient to be -0.29. Which statement about the correlation among the data is true?

Learn how to interpret a correlation coefficient of -0.29 in linear models. This question covers key statistical concepts including weak negative correlation and the calculation of correlation coefficients. Suitable for students in Grades 9-12.

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