A bivariate fit is a correlation analysis in statistics. Basically you have 2 sets of paired data and want to know if they statistically correlated. You graph the pairs, as X,Y and make a linear regression line between the points. The slope of the line is the correlation coeffiencint, the closer the line is to a 45 degree angle the more likely your data is dependent on one another. if the line is flat then there is no correlation.
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A bivariate linear inequality.
In my view, the best plot for bivariate data is a scatter plot.
Non-example of bivariate data in numbers is that with numbers that have no relationship between them.
great fit