Casio CFX-9800G-w Owners Manual - Page 75
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UPC - 079767128685
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•Exponential Regression •The exponential regression formula is y=Atet , (Iny=lnA+Bx). •Ey is obtained as Elny, Eye as E(Iny)2, and Exy as Extlny. Example Operation Display xi 6.9 12.9 . 19.8 26.7 35.1 yi 21:4 15.7 12.1 8.5 5.2 ' The data in the above table can be used to obtain, the terms of the regression formula and the correlation coefficient. Based on the regression formula, estimated value ft can be obtained for xi= 16, and estimated value 2 can be obtained for yi= 20. E_(SET)E(EXP) (NON) EMI EDE gaScfig ' (Clears memory) 6.9E( ,)21.4E(DT) 12.9E(,)15.7E(DT), 19.8E( ,)12.1E(DT) 26.7a,)8.5ID (DT) 35.1E(,)5.2E(IT0 (Constani term A) - El(REG)EKNEI (Regression coefficient B) D(B)El (Correlation coefficient r) El(r)g hen xi= 16) 16 Ps (2 hen Yi=20) 20g( 2.)E1 6.9 12.9 19.8 26.7 35.1 ' =30.49758743 - 0.04920370831 - 0.997247352 13.87915739 8.574868047 liPower Regression •The power regression formula is y-Fox6 InA + Blnx). •Ex is obtained as Elnx, Ex2 as E(Inx)2, Ey as £Iny, Ey2 as E(Iny) , and Exy as Elnxdny. Example Operation Display xi YI 28 2410 30 3033 33 3895 35 4491 38 5717 The data in the above table can be used to obtain the terms of the regression for'mule and the correlation coefficient. Based on the regression formula, estimated value 9 can be obtained for xi=40, and estimated value -2 can be obtained for yi= 1000. gETE)TE)fFf4PWR) EDI gm(scoci (Clears memory) 28E1(,)2410E(DT) 30E(,)10331D(DT) 33E (,)3895E(DT) 35E1(,)4491E(DT) 38ID( ,)5717E(DT) (Constant term A) El(REG)Elfit0E) (Regression coefficient a) F2 (B) (Correlation coefficient r) El(r)CI (9 when xi= 40) 40El(fi) :l (2 when yi= 1000) 1000 re 3.33220451 3.401197382 3.496507561 3.555348061 3.63758616 0.2388010685 2.771866158 0.9989062551 6587.674589 20.26225681 -114 - - 115- A340087-13