On Line Analysis for Social Scientists

Cover On Line Analysis for Social Scientists
On Line Analysis for Social Scientists
James R Miller
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3. REGRESSION MODEL WITH ALL NON-NEGATI^/E CONSTANTS. H. REGRESSION MODEL WITHOUT CONSTANT-ADDED (AO) TERM AND WITH ALL REMAINING CONSTAJ^JTS NON-NEGATIVE. 5. REGRESSION MODEL WITHOUT CONSTANT-ADDED (AO) TERM AND WITH REMAINING CONSTANTS NON-NEGATIVE ADDING TO 1.
TYPE IN ONE OF THE ABOVE CODE DIGITS. 1.
A-6 RESULTS FOLLOW A( 0)= 3. 1166 A( 1)= . 5316 A( 2) = . 0718 A( 3)= . 1221 A( h)= -. 51+83 A( 5)= . LJ+50 SQ. UARE ROOT OF PROPORTIONAL VARIANCE REDUCED = . T8o6 PUSH CARR. RETURN TO PERFORM A
...NOTHER KIND OF ANALYSIS ON THE SAME DATA. TYPE IN 1 TO PERFORI'l THE ENTIRE ANALYSIS AGAIN ON FRESH DATA. TYPE IN 2 TO STOP COr^PLETELY.
(carriage return pushed at this point) REFERRING TO THE CODE NUMBERS DISPLAYED ABOVE, SELECT A TYPE OF ANALYSIS, AND TYPE IN THE APPROPRIATE DIGIT.
2.
RESULTS FOLLOW - A( 1) = . 7166 A( 2) = . 2lUk A( 3)= . 0781 A( h)= -. I+63T A( 5)= . 2877 SQUARE ROOT OF PROPORTIONAL VARIANCE REDUCED = . 7732 PUSH CARR. RETURN TO PERFORM ANOTHER KIND OF ANALYSIS ON THE SAME DATA.


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