Bivariate measures

Bivariate measures

1. Correlation

   • It occurs when there are 2 variables that are realated to each other and one depends on the other generating change.
     • Characteristics
       • Direct
         • It occurs when the 2 variants increase at the same time and the points are shown growing in an ascending line.
       • Reverse
         • It is when while one variant increases the other decreases and it iis evident with the points in line but moving away.
       • Null
         • It show that there is no correlation between the variabes and the points are seen in a round shape
     • Levels
       • Strng
         • In the vicinity of the points
       • Weak
         • In the dispersion on the points
       • Null
         • No correlation
         • Positiva correlation
         • High positive correlation

2. Regression

   • Explains the behavior of an explanatory or endogenoudependent variable with other independent or exogenous explanatory variables
     • Linea regression coefficient: Measures the level of dependence of Y on x
     • Simple linear regrassion: Satisfy the active propierties that exist
     • Regression model
       • Determinant: describes by the formula the value of the independient variable
       • Stantistician: receives integrate a random element in the relation
       • Standardized: the slope tells us if there is a relationship between 2 variables
     • Regression linear coefficient: Value of the multiple analysis in average of a predictive variable in equality whit the descriptive variable
       • Positive negative null
     • Regression Analysis: formula that relates a criterion variable with apredicción variable
   • Multiple
     • Linear curvilinear and nonlinear
     • R2 determination Coefficient
       • extracts the degreeof correlationbetween the variables, show the fit of a model to the variable