To form an equation to represent the total cost \( y \) based on the number of sheets \( x \), we can analyze the data provided.
Let's record the valid price data based on the details provided:
- For \( x = 14 \), \( y = 19.00 \)
- For \( x = 17 \), \( y = 15.75 \) (however, this entry appears to have an issue since it's labeled “nothing”)
- For \( x = 11 \), \( y = 24.75 \)
- For \( x = 14 \), \( y = 31.50 \)
Notice that there may be an inconsistency or overlapping values for \( x = 14 \) where we have two different costs.
To establish a linear equation, we can take the pairs that provide a clear relationship. We can use the points:
- \( (11, 24.75) \)
- \( (14, 19.00) \)
- \( (14, 31.50) \)
Given the data is unclear especially for \( x = 14\), let's focus on valid pairs or find the average cost based on consistent data.
Assuming a linear relationship, we can find \( y \) based on the average cost per sheet.
For instance, let's analyze:
-
For \( (11, 24.75) \):
- The average cost = \( \frac{24.75}{11} \approx 2.25 \) dollars per sheet.
-
Kin \( (14, 31.50) \):
- The average cost = \( \frac{31.50}{14} \approx 2.25 \) dollars per sheet.
Given these considerations, we could generalize as:
\[ y = 2.25x \]
Thus, the equation you can use to find the total cost \( y \) in dollars for \( x \) sheets of stickers is:
\[ y = 2.25x \]
Make sure to validate the exact prices again if using this for a business or pricing strategy since there seems to be an inconsistency in sticker costs.