Casio fx 991MS User Guide - Page 33
Logarithmic, Exponential, Power, and Inverse, Regression, Quadratic Regression
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Temperature at 1000 hPa = 4.642857143 1000 A X r r r 1 = Coefficient of Determination = 0.965517241 A X r r 3 K = Sample Covariance = 35 E A U r 3 , A U 3 - A X 1 - A X r 1 F \ E A U 3 , 1 F = u Logarithmic, Exponential, Power, and Inverse Regression • Use the same key operations as linear regression to recall results for these types of regression. • The following shows the regression formulas for each type of regression. Logarithmic Regression y ҃ A ѿ B ؒ In x Exponential Regression y ҃ A ؒ eB·x (In y ҃ In A + Bx) Power Regression y ҃ A ؒ xB (In y ҃ In A + B In x) Inverse Regression y ҃ A ѿ B ؒ 1/x u Quadratic Regression • The regression formula for quadratic regression is: y = A + Bx + Cx2. • Example: xi yi Perform quadratic regression to de- 29 1.6 termine the regression formula terms for the data nearby. Next, use the 50 23.5 regression formula to estimate the 74 38.0 values for n (estimated value of y) for 103 46.4 xi = 16 and m (estimated value of x) 118 48.0 for yi = 20. In the REG Mode: r 3(Quad) A B 1 (Scl) = (Stat clear) 29 P 1.6 S 50 P 23.5 S 74 P 38.0 S 103 P 46.4 S 118 P 48.0 S 31