Coefficient of Determination = 0.965517241
Sample Covariance = 35
AXr r3 K= E A Ur 3,
AU3- AX1- AXr 1F \
E A U3, 1 F=
uLogarithmic, Exponential, Power, and Inverse
Regression
•Use the same key operations as linear regression to re- call results for these types of regression.
•The following shows the regression formulas for each type of regression.
Logarithmic Regression | y A 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 B 1/x |
uQuadratic Regression
•The regression formula for quadratic regression is: y = A + Bx + Cx2.
•Example:
xi yi
291.6
5023.5
7438.0
10346.4
11848.0
Perform quadratic regression to determine the regression formula terms for the data nearby. Next, use the regression formula to estimate the values for n (estimated value of y) for xi = 16 and m (estimated value of x) for yi = 20.
In the REG Mode:
r3(Quad)
AB1(Scl) =(Stat clear)
29 P 1.6 S50 P 23.5 S
74 P38.0 S103 P46.4 S
118 P48.0 S
Regression Coefficient A =
Regression Coefficient B = 1.495939413