Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk

Table 4

Absolute difference of each indicator.

t	△Xt (1)	△Xt (2)	△Xt (3)	△Xt (4)	△Xt (5)	△Xt (6)	△Xt (7)	△Xt (8)	△Xt (9)	△Xt (10)	△Xt (11)
1	0.662	0.286	0.710	0.714	0.147	0.705	0.710	0.714	0.487	0.496	0.370
2	0.851	0.099	0.891	0.898	0.358	0.886	0.897	0.901	0.708	0.710	0.673
3	0.774	0.178	0.812	0.819	0.281	0.806	0.818	0.822	0.641	0.638	0.596
4	0.715	0.236	0.756	0.762	0.205	0.749	0.760	0.764	0.598	0.572	0.497
5	0.644	0.315	0.678	0.683	0.258	0.672	0.682	0.685	0.524	0.531	0.463
6	0.747	0.204	0.791	0.796	0.146	0.788	0.791	0.796	0.584	0.572	0.484
7	0.650	0.306	0.688	0.694	0.078	0.685	0.689	0.694	0.495	0.503	0.415
8	0.789	0.162	0.832	0.835	0.401	0.823	0.835	0.838	0.658	0.671	0.564
9	0.606	0.362	0.630	0.635	0.258	0.624	0.635	0.638	0.505	0.515	0.476
10	0.828	0.136	0.859	0.863	0.356	0.854	0.861	0.864	0.681	0.706	0.620
11	0.624	0.334	0.663	0.666	0.066	0.660	0.661	0.665	0.450	0.466	0.352
12	0.785	0.173	0.814	0.822	0.351	0.810	0.823	0.827	0.653	0.667	0.596
13	0.576	0.390	0.603	0.608	0.203	0.598	0.607	0.610	0.464	0.467	0.429
14	0.693	0.256	0.739	0.744	0.176	0.735	0.740	0.742	0.528	0.541	0.409
15	0.654	0.314	0.678	0.683	0.335	0.669	0.684	0.686	0.577	0.566	0.512