Casio FX-9750GII-SC User Guide - Page 152

Quadratic regression Model formula....... y = ax2 + bx + c Cubic regression Model formula....... y = ax3 + bx2 + cx + d a.......... regression second coefficient a.......... regression third coefficient b.......... regression first coefficient b.......... regression second coefficient c .......... regression constant term (y-intercept) c .......... regression first coefficient d.......... regression constant term (y-intercept) Quartic regression Model formula....... y = ax4 + bx3 + cx2 + dx + e a.......... regression fourth coefficient b.......... regression third coefficient c .......... regression second coefficient d.......... regression first coefficient e .......... regression constant term (y-intercept) I Logarithmic Regression Graph Logarithmic regression expresses y as a logarithmic function of x. The standard logarithmic regression formula is y = a + b × In x, so if we say that X = In x, the formula corresponds to linear regression formula y = a + bX. (CALC)(E)(Log) (DRAW) The following is the logarithmic regression model formula. y = a + b·ln x a regression constant term b regression coefficient I Exponential Regression Graph Exponential regression expresses y as a proportion of the exponential function of x. The standard exponential regression formula is y = a × ebx, so if we take the logarithms of both sides we get In y = In a + bx. Next, if we say Y = In y, and A = In a, the formula corresponds to linear regression formula Y = A + bx. (CALC)(E)(Exp) (aeˆbx) or (abˆx) (DRAW) The following is the exponential regression model formula. y = a·ebx a regression coefficient b regression constant term y = a·bx a regression constant term b regression coefficient 6-12