DESCRIPTIVE STATISTICS

DESCRIPTIVE STATISTICS

1. BIVARIATE REGRESSION AND CORRELATION MEASURES

   • PROBALISTIC MEASURES
   • REGRESSION
     • SIMPLE REGRESSION
       • To explain the relationship between the dependent response variable (Y) and a single independent explanatory variable (X)
     • MULTIPLE REGRESSION
       • For an interval or ratio variable. to analyze the relationship between two or more variables
   • CORRELATION
     • TO DETERMINE CHANGES IN THE INFLUENTIAL VARIANT
       • POSITIVE VARIABLE DIRECT CORRELATION
         • Increase one of the variables by increasing the others.
           • correlation coefficient
       • NEGATIVE VARIABLE INVERSE CORRELATION
         • One of the variables increases, the other decreases.
       • NULL CORRELATION NON-LINEAR VARIABLE
         • There is no dependency of any kind between variables
           • coefficient of determination
   • DISPERSION DIAGRAM
     • It is a mathematical diagram with cartesian coordinates to show the variables for a set of data.
       • Horizontal X-axis Y-vertical axis

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