Bivariate Statistical Measures

Bivariate Statistical Measures

1. The relationship between two variables can be classified as:

   • dependence hint
     • when two variables can show a correlation, through from a third variable that influences in them
   • interdependence
     • when the influence in the two variables is reciprocal
       • would be a case of dependence bilateral
   • dependence one-sided causation
     • when one of the variables influences the other, but not contrary
   • agreement
     • is presented in two variables independent to which are determines the correlation that It can exist
   • covariate casual
     • when the correlation that occurs between the two variables is totally causal or accidental

2. regression analysis

   • math equation that allows to describe the existing relationship between two variables
     • help get a regression line
       • through:
   • allows to measure the force of association between two variables
     • in addition, it allows see if the relationship it is linear, parabolic or exponential, among other.
   • equation linear
     • location of the line in some point
     • pending the straight

3. correlation analysis

   • allows the prediction of A variable named earring
   • describe the degree or strength with That produces bliss relationship
     • measure known as: Correlation coefficient or Pearson correlation
       • R = r
         • this degree of correlation is obtained by calculating of the correlation coefficient
           • measure of interdependence of two random variables
       • coefficient of correlation of Pearson between "y" and "x"

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