To sort the given correlation coefficients into columns based on the strength of their linear relationship (strong, moderate, and weak/no correlation), let's first define the ranges for each category:

• Strong correlation: Coefficients close to -1 or 1, typically between -1 and -0.7 or 0.7 and 1.
• Moderate correlation: Coefficients between -0.7 and -0.4 or 0.4 and 0.7.
• Weak to no correlation: Coefficients between -0.4 and 0.4.

Sorted into categories:

Strong correlation:

• Least to greatest: -1, -0.85, -0.75, 1

Moderate correlation:

• Least to greatest: -0.45, 0.52, 0.63

Weak to no correlation:

• Least to greatest: 0, 0.15

Final Table:

Strong correlation	Moderate correlation	Weak to no correlation
-1	-0.45	0
-0.85	0.52	0.15
-0.75	0.63
1

Would you like a detailed explanation on how these ranges are determined or have any questions?

Here are 5 questions for further exploration:

1. What does a correlation coefficient of 0 signify in real-world scenarios?
2. How do you calculate the correlation coefficient from data points?
3. What is the difference between positive and negative correlations?
4. How does the correlation coefficient relate to the slope in a linear regression?
5. What limitations exist when interpreting the correlation coefficient?

Tip: Even a strong correlation does not necessarily imply causation; always consider the context of your data.