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Regression analysis
using SAS
A project on sales data of Clover Health Care Pharma
Introduction
CLOVER HEALTH CARE PHARMA
 Clover Health Care Pharma offers quality medicines at prices affordable to
the common man.
 The company aims to make global products available in the local market at a
price affordable to the common man.
 The companys range of products seek to address the ever increasing demands
in the field of Cardiology and Diabetology.
Objective
 To create a regression model for forecasting sales using SAS
Methodology
 Create lag for the sales data and make the regression model using SAS
 Codes are given below:-
 proc import datafile="E:Vishsales.xls" out=work.sales;
 run;
 Data Sales;set sales;
 TruAlag1=lag(TruA);
 TruAlag2=lag2(TruA);
 TruAlag3=lag3(TruA);
 run;
 ODS pdf file='E:VishOuput2.pdf';
 Proc reg data=work.Sales;
 model Chol20=Chol20lag3;
 Run;
 quit;
 quit;
 ODS pdf close;
 run;
Methodology
 The data comprises of sales data of all their products for a particular year in
the state of Kerala.
 There were 32 products for which lag were created and made regression
model using the lags.
Thank You

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Regression analysis using sas

  • 1. Regression analysis using SAS A project on sales data of Clover Health Care Pharma
  • 2. Introduction CLOVER HEALTH CARE PHARMA  Clover Health Care Pharma offers quality medicines at prices affordable to the common man.  The company aims to make global products available in the local market at a price affordable to the common man.  The companys range of products seek to address the ever increasing demands in the field of Cardiology and Diabetology.
  • 3. Objective  To create a regression model for forecasting sales using SAS
  • 4. Methodology  Create lag for the sales data and make the regression model using SAS  Codes are given below:-  proc import datafile="E:Vishsales.xls" out=work.sales;  run;  Data Sales;set sales;  TruAlag1=lag(TruA);  TruAlag2=lag2(TruA);  TruAlag3=lag3(TruA);  run;  ODS pdf file='E:VishOuput2.pdf';  Proc reg data=work.Sales;  model Chol20=Chol20lag3;  Run;  quit;  quit;  ODS pdf close;  run;
  • 5. Methodology  The data comprises of sales data of all their products for a particular year in the state of Kerala.  There were 32 products for which lag were created and made regression model using the lags.