2.5 20 50 6.25 400 16.75
2.5 50/3 125/3 6.25 2500/9 13.25
2.5 100/7 250/7 6.25 10000/49 10.75
2 25 50 4 625 20.75
2 20 40 4 400 16
2 50/3 100/3 4 2500/9 12.75
2 100/7 200/7 4 10000/49 10.5
5/3 20 100/3 25/9 400 15.75
5/3 50/3 250/9 25/9 2500/9 12.5
5/3 100/7 500/21 25/9 10000/49 10
10/7 20 200/7 100/49 400 15.5
10/7 50/3 500/21 100/49 2500/9 12
10/7 100/7 1000/49 100/49 10000/49 9.5
1.25 25 31.25 1.5625 625 18.75
1.25 20 25 1.5625 400 12.75
1.25 50/3 62.5/3 1.5625 2500/9 8
1.25 100/7 120/7 1.5625 10000/49 1.75];
Y=X(:,6);
x=X(:,1:5);
[B,BINT,R,RINT,STATS] =regress(Y,x);
B,BINT,STATS
rcoplot(R,RINT)
Warning: R-square and the F statistic are not well-defined unless X has a column of
ones.
Type "help regress" for more information.
> In regress at 162
B =
10.1988
-0.8053
0.0757
-2.3178
0.0435
BINT =
-10.9918 31.3893
-2.8312 1.2205
-0.4633 0.6148
-7.8949 3.2592
-0.0211 0.1081
STATS =
0.8551 18.3285 0.0000 4.2632
----------------------------------------------------
REGRESS Multiple linear regression using least squares.
regress采用的就是最小二乘法
[x y z u v]=[10.1988 -0.8053 0.0757 -2.3178 0.0435]
BINT 是置信區間