Casio CFX-9800G-w Owners Manual - Page 70
Casio CFX-9800G-w - Color Graphing Calculator Manual
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Theunit uses the following value memories to store values. Do not use these memories for storageif you plan to perform statistibal operations. Value MeMory P O R U. . V W Statistical Data Eye Ey Exy Ex2 Ex n . •Linear Regression The linear regression formula is defined as y=A+ Bx. • To input data for linear regression Example 1 To input the data 10/20, 20/30, 20/30, 40/50 CIILI(Sc0lD 10E(,)20E(DT) 20CI(,)30E(DT) D(DT) 40I(,)50 BB Example 2 To input the data 10/20 20/30,20/30, 20/30, 20/30, 20/30, 40/50 10E(,)20CI(DT) 20Eff,)30 EI5E(DT) 40E(,)50ILI(DT) Note that you can input multiple data pairs by entering the data, pressing and then entering the number of data pairs. • To delete data Example 1 Data input,sequence: 10E(,)401D(DT) 20E(,)201D(DT) 30E(,)30B(DT) 401L1(,)501D(DT) To delete the 40E(,)50E(DT) (last data pair entered), press E(CL). Example 2 Data input sequence: 1915(,)40E(DT) 2og(,)20E(DT) 30g(,)301:1(DT) , 40E1(,)50 To delete the 40Eff,)50, press m. Example 3 Data input sequence: 10E(,)40E(DT) 20C1(,)20E(DT) 30E(,)305(DT) 40E(,)501E(DT) To delete the 20E(,)20C(DT), enter 2000(,)20 -104- ELogaritinnic Regression The logarithmic regression formula is defined as y=A+ B•Inx. • To input data for logarithmic regression Input data using the same procedures as described for linear regression on page 104. • To delete data Delete data using:the same procedures as described for linear regression on page 104. The following shows the difference between linear regression results and logarithmic regression results. Linear Regression Logarithmic Regression Ex Elnx Ex2 E(Inx)2 Exy Elnxi •Exponential Regression The exponential regression formula is defined as y = fort (iny=lnA+ Bx). • To input data for exponential regression Input data using the same'procedures as described for linear regression on page104. • To delete data Delete data using the same procedures as described for linear regression on page 104. The following shows the difference between linear regression results and exponential regression results. Linear Regression Exponential Regression Ey Elny Ey e E(Iny)2 Exy Ex.lny -105-