By Anil K. Jain
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Cards described in 2-5 form card type 17. For more details of this procedure see card types 5, 16 and 17 and the description of NKN~WN on the problem definition card (type 2). Third, for each regression equation calculated, the maximum likelihood F-ratio is computed. sion equation. The user can specify confidence limits on the F-ratio for each regresIf the F-ratio for a given N falls below its corresponding confidence 28 limit, the program will stop. type 6 and IST~PF To use this procedure see the descriptions of card on the problem definition card.
This card type are 5 and 10. The values for The program will expect card types 16 and 17 which were punched in an earlier job for N ~ 5 and N = 10. eJPF = O. These values provide the confidence limits for the F-ratio of each regression equation. If an equation's F-ratio is less than the confidence limit, the program will print that the result is not significant. = 2, the program will try to go IST,eJPF = 1, it will resume the same If IST,eJPF on to the next problem (next title card). If problem with the next equation.
The optimal regression program always works with a set of N - 1 independent variables and then chooses variable N by trying all possible solutions. the maximum number of variables that can be forced in is N - 1. Therefore, If N0IN, the number of vari ab les actually in the regress ion equati on, is greater than or equal to N, and if no variables can be pivoted out, the program will print the values of Nand N0IN and then stop. This means that N variables cannot be forced into an equation. 36 Values are read into array KLEVEL.