A bivariate is a polynomial or function with exactly two variables.
A bivariate equation.
When the correlation coefficient isn't equal to 1 you have any number of choices. Contrary to what a maths syllabus might tell you, there is no right or wrong answer here. Do whatever you think best! Maths does have a creative element to it (this isn't it though...) If its close to zero though, a regression line is probably a poor choice. There aren't many ways to draw a nice fitting curve in this case, but you might be able to model it with a random (e.g. bivariate normal) distribution.
Univariate involves a single variable. Bivariate involves two variables. Univariate: How many of students in the senior class are male? Bivariate: Is there a relationship between girls taking Technology Class and their mathematics scores?
A calculator for the Bivariate Normal At the bottom of the page at the link, under "A calculator for cumulative probabilities from the bivariate normal distribution" there's a little binary applet, which can be downloaded, and which calculates the percentage chances of being in various parts of the volume of the distribution.
Bivariate
A bagplot is a variety of bivariate box plot.
A 3x3 bivariate table has degrees of freedom calculated as (rows - 1) × (columns - 1). For a 3x3 table, this would be (3 - 1) × (3 - 1) = 2 × 2 = 4. Therefore, the degrees of freedom for a 3x3 bivariate table is 4.
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A bivariate equation.
A bivariate linear inequality.
The answer depends on whether the measurements are univariate, bivariate or multivariate.
In my view, the best plot for bivariate data is a scatter plot.
In statistics, bivariate data refers to data that comes with two variables.
Evdokia Xekalaki has written: 'Bivariate and multivariate extensions of the generalized Waring distribution'