Regression

Regression

1. To make a prediction for a variable (DV) using an other variable(IV)

2. variables

   • Independent (Predictor)→X
   • Dependent (Predicted)→Y

3. Analysis

   • Printed output testing (SPSS)
     • 1-devloping H0 or H1
     • 2- Significance
       • P < a = sig
       • P > a = non-sig
     • 3- statistical formula F(df1,df2) = F value, P < or > a
     • 4- percentage of the variance contributions- R2
     • 5- linear regression equ Y'=a+bX
       • Y' = predicted variable (dependent)
       • a = Y'-intercept (regression constant)
       • b = slope (regression coefficient)
       • X = predictor variable (independent)
     • 6- state accept/reject hypothesis
     • 7- explain in laymen term
   • Testing manually
     • 1- determine predictor, X, IV
     • 2- determine predicted, Y, DV
     • 3- find Regression coefficient (slope), b
     • 4- Find Y-intercept, constant regression, a

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