To create a function rule that models the relationship between the number of meals dispensed (x) and the amount of pet food remaining (y), we can analyze the provided data:
- Number of meals dispensed (x): 1, 3, 7, 9
- Amount of pet food remaining (y): 21, 15, 3, 6
It looks like there is a pattern between the number of meals dispensed and the amount of pet food remaining.
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Calculate how much pet food is dispensed per meal:
- From the first data point, when 1 meal is dispensed, there are 21 cups remaining. The change to the second point, when 3 meals are dispensed, yields: \[ 21 - 15 = 6 \text{ cups (dispensed for 2 meals)} \] Thus, for each meal, it appears that \(\frac{6}{2} = 3\) cups are dispensed.
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Check consistency with other points:
- From 3 to 7 meals: \[ y = 15 - (7 - 3) \times 3 = 15 - 12 = 3 \text{ cups remaining} \]
- From 7 to 9 meals: \[ y = 3 - (9 - 7) \times 3 = 3 - 6 = -3 \text{ cups (not possible, which indicates an error in meal measurements)} \]
However, the value should decrease for each subsequent meal, and it appears that only valid measurements are:
- At \( x=1 \), \( y=21 \)
- At \( x=3 \), \( y=15 \)
- At \( x=7 \), \( y=3 \) (as the previous calculation indicated)
Let's summarize how we can derive a linear function based on your findings with valid x-values and y-values. Notably, let's only check the points that progress logically:
- Create a line that connects (1, 21) to (3, 15):
The slope \( m \) between these points: \[ m = \frac{15 - 21}{3 - 1} = \frac{-6}{2} = -3 \] Using point-slope form, or simply the linear equation: \[ y = mx + b \]
Using point (1, 21) to find b: \[ 21 = -3(1) + b \implies b = 24 \]
The equation at this point is: \[ y = -3x + 24 \]
We can check this with the other two points only, but assume some alteration in meal sizes with non-linear constraints due to inconsistency, but the modeling could suffice as a linear equation that may require adjustments on consumption logs to adjust for the basis of the last value.
Final concluding function: \[ y = -3x + 24 \]
With \( y \) as the amount of remaining cups and \( x \) as the number of meals dispensed. Further sampling of values should clarify whether an adjustment for dispensing behavior is necessary.