bivariate
(adjective)
Having or involving exactly two variables.
Examples of bivariate in the following topics:
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Graphing Bivariate Relationships
- We can learn much more by displaying bivariate data in a graphical form that maintains the pairing of variables.
- In the following text, we consider bivariate data, which for now consists of two quantitative variables for each individual.
- Therefore, we can learn much more by displaying the bivariate data in a graphical form that maintains the pairing. shows a scatter plot of the paired ages.
- The presence of qualitative data leads to challenges in graphing bivariate relationships.
- Compare the strengths and weaknesses of the various methods used to graph bivariate data.
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Introduction to Bivariate Data
- A dataset with two variables contains what is called bivariate data.
- In this chapter we consider bivariate data, which for now consists of two quantitative variables for each individual.Our first interest is in summarizing such data in a way that is analogous to summarizing univariate (single variable) data.
- We can learn much more by displaying the bivariate data in a graphical form that maintains the pairing.
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Introduction
- The type of data described in the examples is bivariate data - "bi" for two variables.
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Summary
- Bivariate Data: Each data point has two values.
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Lab 2: Regression (Textbook Cost)
- Collect bivariate data (number of pages in a textbook, the cost of the textbook).
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Regression Toward the Mean: Estimation and Prediction
- Regression towards the mean can be defined for any bivariate distribution with identical marginal distributions.
- Not all such bivariate distributions show regression towards the mean under this definition.
- However, all such bivariate distributions show regression towards the mean under the other definition.
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An Intuitive Approach to Relationships
- Note that the type of data described in these examples is bivariate ("bi" for two variables).
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Statistical Graphics
- Many familiar forms, including bivariate plots, statistical maps, bar charts, and coordinate paper were used in the 18th century.
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Practice: Linear Regression
- The student will evaluate bivariate data and determine if a line is an appropriate fit to the data.
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Lab 1: Regression (Distance from School)
- Collect bivariate data (distance an individual lives from school, the cost of supplies for the current term).