Based on the description of the scatterplot where the x-axis represents a student's age in years and the y-axis represents the number of times the student cried each month on average, the following vocabulary words can be used to describe the data:
- Decreasing - If the data shows that as the age increases, the number of times the student cried decreases on average.
- Bivariate - The data involves two variables (age and number of times cried).
- Positive trend - If the data shows that as the age increases, the number of times the student cried also increases on average.
Without seeing the specific scatterplot, we can't ascertain the exact nature of the trend. However, terms like "increasing," "decreasing," and "linear trend" depend on the specific shape of the scatterplot. If there's any indication of a consistent increase or decrease, those terms could be applicable.
Thus, the most certain terms to describe the data given the usual expectations regarding such data would be:
- Bivariate
Which would be the only universally applicable term regardless of the trend direction unless we can determine the trend from the scatterplot.