Based on the description you provided (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), here are the vocabulary words that can be used to describe the data represented in the scatterplot:
- Bivariate - This is applicable because the data involves two variables: age and frequency of crying.
- Decreasing or Positive trend - Depending on the actual pattern of the points in the scatterplot, the trend could either be decreasing (if older students cry less) or positive (if younger students cry more as they age). Choose the applicable one based on the actual trend.
- Linear trend - If the points on the scatterplot tend to align closely along a straight line (whether positive or negative), then this term could also be applicable.
The terms Proportional, Univariate, and Increasing generally would not be appropriate unless discussed under specific circumstances:
- Proportional suggests a constant ratio, which may or may not apply depending on the actual data trend.
- Univariate implies one variable only, which does not fit as there are two variables.
- Increasing would only apply if the data shows that students cry more as they age, which again would depend on the actual trend observed.
So, without seeing the actual scatterplot, "Bivariate" is clearly applicable, while "Decreasing" or "Positive trend" and "Linear trend" depend on the specific pattern in the data.