To analyze the success rates from the table for both Method A and Method B, we can observe the patterns in the data.
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Method A:
- The values increase by a constant amount each day:
- From Day 0 to Day 1: \(3 - 1 = 2\)
- From Day 1 to Day 2: \(5 - 3 = 2\)
- This pattern continues, as the increase is consistently \(2\).
- Thus, Method A can be modeled by a linear equation, as it follows a straight line pattern defined by \(y = mx + b\).
- The values increase by a constant amount each day:
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Method B:
- The values do not increase consistently; they fluctuate:
- From Day 0 to Day 1: \(3 - 7 = -4\)
- From Day 1 to Day 2: \(1 - 3 = -2\)
- From Day 2 to Day 3: \(1 - 1 = 0\)
- From Day 3 to Day 4: \(3 - 1 = 2\)
- The changes vary, which suggests a more complex relationship indicating non-linear growth.
- Observing further, there is not a consistent pattern in the increase, which suggests that it might be modeled with a quadratic equation.
- The values do not increase consistently; they fluctuate:
Based on this analysis, the correct answer would be:
Method A should be modeled with a linear equation, and Method B should be modeled with a quadratic equation.