请高人指点，看下面的数据是否存在某种相关性
a b
27.411 1.600
27.361 1.597
27.372 1.642
28.517 1.664
28.524 1.735
28.512 1.696
28.464 1.689
28.471 1.689
28.456 1.690
27.266 1.621
27.440 1.669
27.447 1.638
29.825 1.799
29.761 1.778
29.673 1.761
28.580 1.683
28.587 1.694
28.579 1.671
28.524 1.657
28.548 1.679
28.540 1.693
30.222 1.806
29.663 1.721
29.825 1.781
28.170 1.689
28.160 1.676
28.167 1.667
28.188 1.684
28.190 1.702
28.217 1.750
27.481 1.593
27.479 1.595
27.478 1.622
28.176 1.690
28.122 1.693
27.411 1.600
27.361 1.597
27.372 1.642
28.517 1.664
28.524 1.735
28.512 1.696
28.464 1.689
28.471 1.689
28.456 1.690
27.266 1.621
27.440 1.669
27.447 1.638
29.825 1.799
29.761 1.778
29.673 1.761
28.580 1.683
28.587 1.694
28.579 1.671
28.524 1.657
28.548 1.679
28.540 1.693
30.222 1.806
29.663 1.721
29.825 1.781
28.170 1.689
28.160 1.676
28.167 1.667
28.188 1.684
28.190 1.702
28.217 1.750
27.481 1.593
27.479 1.595
27.478 1.622
28.176 1.690
28.122 1.693
没有找到相关结果
已邀请:
RSS Feed
10 个回复
scornl (威望:1) (西藏 林芝地区) 在校学生 员工 - 123123123123
赞同来自:
The regression equation is
C1 = 6.773 + 12.82 C2
S = 0.367889 R-Sq = 79.5% R-Sq(adj) = 78.9%
Analysis of Variance
Source DF SS MS F P
Regression 1 17.3703 17.3703 128.34 0.000
Error 33 4.4663 0.1353
Total 34 21.8366
Fitted Line: C1 versus C2
Polynomial Regression Analysis: C1 versus C2
The regression equation is
C1 = 59.12 - 49.01 C2 + 18.23 C2**2
S = 0.366162 R-Sq = 80.4% R-Sq(adj) = 79.1%
Analysis of Variance
Source DF SS MS F P
Regression 2 17.5462 8.77309 65.43 0.000
Error 32 4.2904 0.13407
Total 34 21.8366
Sequential Analysis of Variance
Source DF SS F P
Linear 1 17.3703 128.34 0.000
Quadratic 1 0.1759 1.31 0.261
Fitted Line: C1 versus C2
Polynomial Regression Analysis: C1 versus C2
The regression equation is
C1 = - 139 + 302 C2 - 189 C22 + 40.8 C23
S = 0.371940 R-Sq = 80.4% R-Sq(adj) = 78.5%
Analysis of Variance
Source DF SS MS F P
Regression 3 17.5480 5.84935 42.28 0.000
Error 31 4.2885 0.13834
Total 34 21.8366
Sequential Analysis of Variance
Source DF SS F P
Linear 1 17.3703 128.34 0.000
Quadratic 1 0.1759 1.31 0.261
Cubic 1 0.0019 0.01 0.908
Fitted Line: C1 versus C2
Residual Plots for C1
Polynomial Regression Analysis: C1 versus C2
The regression equation is
C1 = 59.12 - 49.01 C2 + 18.23 C2**2
S = 0.366162 R-Sq = 80.4% R-Sq(adj) = 79.1%
Analysis of Variance
Source DF SS MS F P
Regression 2 17.5462 8.77309 65.43 0.000
Error 32 4.2904 0.13407
Total 34 21.8366
Sequential Analysis of Variance
Source DF SS F P
Linear 1 17.3703 128.34 0.000
Quadratic 1 0.1759 1.31 0.261
Fitted Line: C1 versus C2
Residual Plots for C1
下面是一元到3元的分析结果，一元方程就够了，我感觉，