SAS 9.4 Output Delivery System, 4th Edition

50 16.4 161.2 4.1 114.8

51 19.0 171.5 3.1 123.2

52 19.1 175.5 3.1 126.9

53 18.8 180.8 1.1 132.1

54 20.4 190.7 2.2 137.7

55 22.7 202.1 2.1 146.0

56 26.5 212.4 5.6 154.1

57 28.1 226.1 5.0 162.3

58 27.6 231.9 5.1 164.3

59 26.3 239.0 0.7 167.6

60 31.1 258.0 5.6 176.8

61 33.3 269.8 3.9 186.6

62 37.0 288.4 3.1 199.7

63 43.3 304.5 4.6 213.9

64 49.0 323.4 7.0 223.8

65 50.3 336.8 1.2 232.0

66 56.6 353.9 4.5 242.9

;

run;

Creating the Iron Data Set

The data set Iron contains data from Draper and Smith.

data iron;

input Fe Loss @@;

datalines;

0.01 127.6 0.48 124.0 0.71 110.8 0.95 103.9

1.19 101.5 0.01 130.1 0.48 122.0 1.44 92.3

0.71 113.1 1.96 83.7 0.01 128.0 1.44 91.4

1.96 86.2

;

run;

Draper, N. and Smith, H. 1998. Applied Regression Analysis, Second Edition. New York,

New York: John Wiley & Sons, 98.

Creating the Model Data Set

data model;

input year 1-2 a 3-9 .3 b 10-17 .3 r4 18-24 .3 r8 25-31 .3

c 32-38 .3 d 39-45 .3 e 46-51 .3 r23 52-58 .3

r24 59-64 .3 r29 65-70 .3 r33 71-77 .3 ;

datalines;

60 994534 53552371656049 9362944261250 8921423631971140299106045 8780 335066

611253576 5580643177015110671424650930 9933453874651217360151507 36871 49192

621318885 621448018932921075688469573610686654502881317293178014 66671 566079

631507969 666125121046261533088511701311673695162821579148179797106485 -4568

641811051 731945021737841454106554095914677245822921945534206255145948 -10940

652532026 816707123363201962785640926221155676314091906268218759195733-145568

661845213 889039326806342223395649307215331186055041732948288322275400 132143

1088 Appendix 2 • Example Programs