BIVARIANT STATISTICAL MEASURES

BIVARIANT STATISTICAL MEASURES

1. REGRESSION AND CORRELATION

   • Dispersion diagram
     • Trend of grouping of points
       • linear
       • exponential
       • curvaceous
       • polygonal
   • Simple linear regression
     • Predicts the value of a variable based on the values dice of the other
       • x - Independent
       • y- Dependent
       • Equation
         • Y= a + bX
   • Correlation
     • Degree of relationship
     • Positive
       • increase or decrease the values ​​of x and y
     • negative
       • The values ​​of one increase and those of the other decrease.
     • Degree
       • perfect = 1
       • Excellent = 0.90 < r < 1
       • Acceptable =0.80 < r < 0.90
       • regular= 0.60 < r < 0.80
       • minimum = 0.30 < r < 0.60
       • No correlation = 0 < r < 0.30
   • Multiple regression
     • More than one independent variable is used to evaluate a dependent variable
       • Y = a + b1 X1 + b2 X2