tests/testthat/_snaps/score-output.md

In rsquaredacademy/olsrr: Tools for Building OLS Regression Models

when fitted.values == TRUE, fitted vals from the reg are used

Code
  ols_test_score(model)
Output

   Score Test for Heteroskedasticity
   ---------------------------------
   Ho: Variance is homogenous
   Ha: Variance is not homogenous

   Variables: fitted values of mpg

          Test Summary         
   ----------------------------
   DF            =    1 
   Chi2          =    1.268973 
   Prob > Chi2   =    0.2599594

Code
  ols_test_score(model, rhs = TRUE)
Output

   Score Test for Heteroskedasticity
   ---------------------------------
   Ho: Variance is homogenous
   Ha: Variance is not homogenous

   Variables: disp hp wt drat qsec

         Test Summary         
   ---------------------------
   DF            =    5 
   Chi2          =    2.515705 
   Prob > Chi2   =    0.774128

Code
  ols_test_score(model, vars = c("disp", "hp"))
Output

   Score Test for Heteroskedasticity
   ---------------------------------
   Ho: Variance is homogenous
   Ha: Variance is not homogenous

   Variables: disp hp

          Test Summary         
   ----------------------------
   DF            =    2 
   Chi2          =    0.9690651 
   Prob > Chi2   =    0.6159851

Code
  ols_test_score(model, rhs = TRUE, vars = c("disp", "hp"))
Output

   Score Test for Heteroskedasticity
   ---------------------------------
   Ho: Variance is homogenous
   Ha: Variance is not homogenous

   Variables: disp hp wt drat qsec

         Test Summary         
   ---------------------------
   DF            =    5 
   Chi2          =    2.515705 
   Prob > Chi2   =    0.774128

rsquaredacademy/olsrr documentation built on Nov. 8, 2024, 5:01 a.m.