
Calculating and Graphing
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.
1(CALC)6(g)2(Log)
6(DRAW)
The following is the logarithmic regression model formula.
y = a + b • ln x
a............. regression constant term
b............. regression coefficient
r .............. | correlation coefficient |
r2 ............ | coefficient of determination |
MSe ........ | mean square error |
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.
1(CALC)6(g)3(Exp)
6(DRAW)
The following is the exponential regression model formula.
y = a • ebx
a............. regression coefficient
b............. regression constant term
r .............. | correlation coefficient |
r2 ............ | coefficient of determination |
MSe ........ | mean square error |
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