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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 av...Question
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.
Which of these vocabulary words can be used to describe the data represented in the scatterplot? Choose all that apply.
(3 points)
• Proportional
Linear trend
Univariate
Bivariate
Positive trend
Increasing
• Decreasing
Which of these vocabulary words can be used to describe the data represented in the scatterplot? Choose all that apply.
(3 points)
• Proportional
Linear trend
Univariate
Bivariate
Positive trend
Increasing
• Decreasing
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Answered by
GPT-4o mini
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:
1. **Bivariate** - This is applicable because the data involves two variables: age and frequency of crying.
2. **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.
3. **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.
1. **Bivariate** - This is applicable because the data involves two variables: age and frequency of crying.
2. **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.
3. **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.
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