/* SAS Example 5: Fortune Magazine Example cont.                     */

/* Fortune Magazine published data on the worlds largest industrial
   corporations. Information was given on sales, profits, assets,
   stockholders' equity, and number of employees. Listed here are the
   data for a sample of 12 of these companies for four variables. Use
   the data to determine the equation of the multiple regression model
   to predict profits by revenue, assets and number of employees.
   Revenue, profits and assets are given in millions of dollars.     */

/* Now we have decided that the model that uses only Assets and
   Revenue is the best we will re-run our analysis with that model.
   We will also obtain a prediction for the revenue of a firm with
   10,000 million in assets, 50,000 employees and a revenue of 10,000
   million.                                                          */

OPTIONS PS=52;
OPTIONS LS=78;
OPTIONS NODATE;
OPTIONS PAGENO=1;

DATA FORTUNE;
   INPUT COMPANY $ 1-30 PROFITS ASSETS EMPLOYEES REVENUES;
   CARDS;
      Nestle (Switzerland)      2377.8   34562.6  212687  41625.7
      Hitachi (Japan)           1146.7  105257.5  331673  76430.9
      Renault (France)           655.5   42357.4  138279  32188.0
      Rhone-Poulenc (France)     547.7   22947.1   81582  15559.5
      Volvo (Sweden)            1714.9   18652.9   60115  20204.0
      Petrofina (Belgium)        324.9   10868.2   14013  11399.1
      Dow (United States)        931.0   26545.0   53700  20015.0
      Pohang (South Korea)       474.9   15676.7   22891   9064.1
      Indian Oil (India)         326.6    5807.3   34729   8235.7
      Sandoz (Switzerland)      1268.7   14935.1   60304  11611.1
      Raytheon (United States)   596.9    7395.4   60200  10012.9
      Akzo Nobel (Netherlands)   647.5   10364.1   70400  12206.9
	  **prediction**                .    10000.0   50000  10000.0
      ;
   RUN;

   PROC PRINT DATA=FORTUNE;
      TITLE 'Industrial Corporation Data';
   RUN;

   PROC REG;
      TITLE 'Model To Predict Profits using only Assets and Revenue';
      MODEL PROFITS = ASSETS REVENUES/P R CLM CLI;
   RUN;