
The study of a relationship between two variables is called bivariate analysis. Out of those, one variable is a dependent variable, and the other one is an independent variable. A dependent variable depends on the independent variable whose value changes in specific relation to the independent variable. The independent variable depends upon the practical values and not on any other variable.
The term bivariate analysis is incorrect to mention the samples having different data analyses where two variables are not connected.
Consider cropland in a small village area. The land gives different crop yields in different seasons. Therefore, the farmer, who owns the land, gets different returns in different seasons. When we make a correlation between the crop yield and the weather, we will get a pattern. This pattern can help the farmer know which season is giving how much crop yield. With this data, he can sow more or less to get maximum profit depending upon the season.
In this case, the two variables are crop yield and season, which makes a bivariate correlation between doing further analysis.
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