可以用常见模型去拟合给定的二维数据,对话框如下图所示。
选择所有模型,单击OK按钮后生成图形如下图所示。
左下角文本框中输出下面的计算结果,包括模型和对应的R平方值。
Curve Fitting
Independent:Var1
Dependent: Var2
Linear Model: y=2648.8666666667+(-59.1212121212)*X
R2= 0.2678885068
Inversive(1) Model: y=2075.9721573172+845.7853455638/X
R2= 0.9908308551
Inversive(2) Model: y=1/(0.0004726195+(-0.000132879)/X)
R2= 0.9996407778
Logarithmn Model: y=2767.8452383015+(-294.049991122)*log(X)
R2= 0.8054746488
Exponential Model: y=exp(7.8785923982+(-0.0239606614)*X)
R2= 0.3651445344
XY Logarithmn Model: y=exp(7.92448289+(-0.1176306119)*log(X))
R2= 0.8427919023
S Model: y=exp(7.6489790768+0.3340073204*(1/X))
R2= 0.9968017421
X Root Model: y=2951.2605223817+(-279.3095746727)*sqr(X)
R2= 0.5827957056
Y Root Model: y=(51.4236913958+(-0.5945146248)*X)^2
R2= 0.3176369896
XY Root Model: y=(54.4449676324+(-2.7999950066)*sqr(X))^2
R2= 0.6149294775