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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. 


B.Correlation
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 

-1<><+1 

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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