The n-th value of the first feature belongs to the n-th value of the second feature.Įxample calculates with the size (in 1000 km²) and population (in millions) of some European countries. The number of values per characteristic must be the same. For each characteristic, the values must be separated from one another with a blank or a line break.
Please enter the values of the two characteristics separately. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. This direction can be represented by a straight line. Linear regression is the most basic and commonly used predictive analysis. If you have two connected quantifiable characteristics, such as height and weight of people, and enter many different values of these sizes in a diagram, then the result is a point cloud in which the points are not randomly distributed, but have a direction. a straight line that predicts the points of a data set with two sizes as well as possible.
Correlation | Linear Regression | Variance and Standard DeviationĬalculates the simple linear regression, i.e.
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