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Regression and Correlation

14.01 Diposting oleh zea

Regression and Correlation>>>Regression in the statistics is one method to determine the influence of a variable level of the other variables. The first is called the various terms: the variable description, explanatory variable, independent variables, or independently, the variables X (as is often depicted in the graph as absis, or X axis).

The second variable is the variable that is affected, dependent variables, the variables are bound, or variable Y. The two variables can be a random variable (random), but the variables that influence should always be a random variable. 

regression analysis is one of the most popular and knowledgeable . Almost all parts of science that requires the analysis may be known this analysis. 

This analysis was first used by Karl Pearson, a proponent mathematic and eugenic ideas, to analyze the nature of the relationship between parents and their children. 

In the theory of probability and statistics, correlation, also called correlation coefficient, is a value that indicates the strength and direction of the relationship between the two linear(random variable). 

Correlation coefficients ranged from a value 


One type of correlation is the most popular correlation coefficient Pearson product-moment, obtained by dividing the two variables covariance with multiple ancillary. Though Pearson has a name, this method was first introduced by Francis Galton.
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