Regression Analysis by Example, Third Edition Chapter 6: Transformation of Variables | SAS Textbook Examples

This page shows how to obtain the results from Chatterjee, Hadi & Price’s Chapter 6 using SAS. 

This page is under construction!!!

Use data in file p157.

data p157;
  input t N_t;
cards;
1 355
2 211
3 197
4 166
5 142
6 106
7 104
8 60
9 56
10 38
11 36
12 32
13 21
14 19
15 15
;
run;

Table 6.2, page 157.

proc print data=p157;
run;

Obs     t    N_t
  1     1    355
  2     2    211
  3     3    197
  4     4    166
  5     5    142
  6     6    106
  7     7    104
  8     8     60
  9     9     56
 10    10     38
 11    11     36
 12    12     32
 13    13     21
 14    14     19
 15    15     15

Figure 6.5, page 159.

filename outgraph 'e:temphttps://stats.idre.ucla.edu/wp-content/uploads/2016/02/f6_5.gif';
goptions gsfname=outgraph dev=gif373;

symbol c=black v=circle h=0.8;
proc gplot data=p157;
  plot n_t*t;
run;

Table 6.3, page 159.

proc reg data=p157;
  model n_t = t;
  output out=p157a
    rstudent = rstd;
run;

The REG Procedure
Model: MODEL1
Dependent Variable: N_t

                             Analysis of Variance

                                    Sum of           Mean
Source                   DF        Squares         Square    F Value    Pr > F
Model                     1         106080         106080      60.62    <.0001
Error                    13          22749     1749.95201
Corrected Total          14         128830


Root MSE             41.83243    R-Square     0.8234
Dependent Mean      103.86667    Adj R-Sq     0.8098
Coeff Var            40.27512


                        Parameter Estimates

                     Parameter       Standard
Variable     DF       Estimate          Error    t Value    Pr > |t|
Intercept     1      259.58095       22.72999      11.42      <.0001
t             1      -19.46429        2.49997      -7.79      <.0001

Figure 6.6, page 159.

axis1 label=(a=90);
symbol c=black v=circle h=0.8;
proc gplot data=p157a;
  plot rstd*t / vaxis=axis1;
  label rstd='Studentized Residuals';
run;


The rest of this chapter is incomplete.