Skip Headers
Oracle® OLAP DML Reference
11g Release 2 (11.2)

E17122-08
Go to Documentation Home
Home
Go to Book List
Book List
Go to Table of Contents
Contents
Go to Index
Index
Go to Master Index
Master Index
Go to Feedback page
Contact Us

Go to previous page
Previous
Go to next page
Next
PDF · Mobi · ePub

REGRESS.REPORT

The REGRESS.REPORT program produces a standard report of a regression performed using the REGRESS command.

Syntax

REGRESS.REPORT

Examples

Example 10-93 Report for a Simple Regression

Assume that you have performed the simple regression illustrated in Example 10-91, "Simple Regression" . You can now execute REGRESS.REPORT to see the results of the regression.

                              Regression Analysis
                              ===================
 
       Dependent Variable: SALES
        WEIGHTBY Variable: NONE
 
Regressor                Coefficient      Std. Error     T-ratio
--------------------    ------------    ------------    --------
ADVERTISING                     0.36            0.16        2.24
PRICE                          -8.66            1.80       -4.82
EXPENSE                         1.05            0.01       79.69
 
      Corrected R-square                   1.00
      F-Statistic (2, 141)                   NA
      Number of observations                144
      Standard error of estimate       1,477.16

Example 10-94 Report for a Weighted Regression

Assume that you have performed the simple regression illustrated in Example 10-92, "Weighted Regression" . You can now execute REGRESS.REPORT to see the results of the regression.

                              Regression Analysis
                              ===================
 
       Dependent Variable: SALES
        WEIGHTBY Variable: RELIABILITY
 
Regressor                Coefficient      Std. Error     T-ratio
--------------------    ------------    ------------    --------
ADVERTISING                     0.44            0.17        2.64
PRICE                          -8.03            1.92       -4.19
EXPENSE                         1.04            0.01       76.45
 
      Corrected R-square                   1.00
      F-Statistic (2, 141)                   NA
      Number of observations                144
      Standard error of estimate       1,373.15