Реализация алгоритмов индуктивного вывода

Приложение №3

Результаты построения модели множественной регрессии.

MULTIPLE REGRESSION RESULTS:were entered in one blockVariable: RESULTR: ,978961728R-Square: ,958366064R-Square: ,941712490of cases: 7( 2, 5) = 57,54717 p < ,000354Error of Estimate: ,397754893: forced to 0 (origin)

STAT. Regression Summary for Dependent Variable: RESULT (bank.sta) R= ,97896173 RІ= ,95836606 Adjusted RІ= ,94171249. F(2,5)=57,547 p<,00035 Std.Error of estimate: ,39775

St. Err. St. Err. =7 BETA of BETA B of B t(5) p-level ,235145 ,211253 1,791045 1,609064 1,113097 ,316297 ,761602 ,211253 ,023881 ,006624 3,605172 ,015459

STAT. Analysis of Variance; DV: RESULT (bank.sta) .

Sums of Mean Squares df Squares F p-level. 18,20896 2 9,104478 57,54717 ,000354 ,79104 5 ,158209 19,00000

STAT. Correlations (bank.sta) .

variable X1 X2 RESULT

X1 1,00 -,30 ,10 -,30 1,00 ,68 ,10 ,68 1,00