To create a scatter plot, draw a line of best fit, and interpret the slope and y-intercept in context, you need to ask a statistical question that involves two quantitative variables.
Here’s an evaluation of each option:
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How tall are the students in your grade level at school?
- Not suitable for a scatter plot. It only involves one variable (height).
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What is your favorite color?
- Not suitable. This is a categorical question and does not involve quantitative data.
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Was your height greater than 60 cm before your last birthday?
- Not suitable. This is a yes/no question involving one variable, not a measurable quantitative variable for a scatter plot.
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How is college student enrollment changing over the last century?
- Suitable. This question suggests a relationship between time (years) and a quantitative measure (enrollment numbers), making it appropriate for a scatter plot.
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What kind of car does your family drive?
- Not suitable. Like the favorite color question, this is categorical and does not involve quantitative data.
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What percentage of families in Florida had a radio in 1930?
- Not suitable. This focuses on a single percentage rather than a relationship between two variables that could be plotted.
Good statistical question:
- How is college student enrollment changing over the last century?
This question allows for a quantitative analysis of enrollment figures over time and can lead to creating a scatter plot with time on the x-axis and enrollment numbers on the y-axis.
1 answer