To match the situations with the most likely correlation coefficients, we can analyze each pair of variables:
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Amount of time traveling to a destination and remaining distance: This correlation is likely to be a negative correlation because as the time spent traveling increases, the remaining distance typically decreases. Therefore, this could be represented by a coefficient close to -1.
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A person's shoe size and number of books read: There is likely no correlation between a person's shoe size and the number of books they read, as these two variables are not related. This could be represented by a coefficient close to 0.
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Number of hours spent driving and number of miles driven: This correlation is likely to be a positive correlation because as the number of hours spent driving increases, the number of miles driven also tends to increase. This could be represented by a coefficient close to 1.
Now, let's place these values into the blanks:
- Blank space 1 (Amount of time traveling to a destination and remaining distance): -1
- Blank space 2 (A person's shoe size and number of books read): 0
- Blank space 3 (Number of hours spent driving and number of miles driven): 1
Final answers:
- Blank space 1: -1
- Blank space 2: 0
- Blank space 3: 1