* SAS Lab 5 Exercise Solution;

* Diagnostics for the Anscombe datasets;
PROC IMPORT out=S3A3.anscombe
   datafile="anscombe.txt"
       DBMS=DLM
       REPLACE;
   Getnames=yes;
   Datarow=2;
run;

PROC REG Data=S3A3.anscombe plots=none;
  Model Y1=X1;
  Title "Anscombe Dataset 1";
  Plot Y1*X1;
  Plot Student.*Predicted.;
  Plot Student.*nqq.;
run;

PROC REG Data=S3A3.anscombe plots=none;
  Model Y2=X2;
  Title "Anscombe Dataset 2";
  Plot Y2*X2;
  Plot Student.*Predicted.;
  Plot Student.*nqq.;
run;

PROC REG Data=S3A3.anscombe plots=none;
  Model Y3=X3;
  Title "Anscombe Dataset 3";
  Plot Y3*X3;
  Plot Student.*Predicted.;
  Plot Student.*nqq.;
run;

PROC REG Data=S3A3.anscombe plots=none;
  Model Y4=X4;
  Title "Anscombe Dataset 4";
  Plot Y4*X4;
  Plot Student.*Predicted.;
  Plot Student.*nqq.;
run;

* Diagnsotics for the Computer Science data multiple regression;
PROC IMPORT out=S3A3.csdata
   datafile="CSData.txt"
       DBMS=DLM
       REPLACE;
   Getnames=yes;
   Datarow=2;
run;

PROC REG Data=S3A3.CSData plots=none;
   Model GPA=HSM HSS HSE;
   Title "CSData Multiple Regression Model";
   Plot GPA*Predicted.;
   Plot Student.*Predicted.;
   Plot Student.*nqq.;
run;

* The Added Variable (Partial Regression) Plots;
PROC REG Data=S3A3.CSData plots=none;
   Model GPA=HSM HSS HSE/partial;
run;