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下面两组数据,加权后的参数是多少?A\x05B7.3\x050.01257.5\x050.00938.2\x050.02128.9\x050.014710.4\x050.038310.9\x050.028811.8\x050.049912.1\x050.042912.3\x050.044612.6\x050.047213.8\x050.084314.4\x050.06414.4\x050.067714.8\x050.09214.9\x0
题目详情
下面两组数据,加权后的参数是多少?
A\x05B
7.3\x050.0125
7.5\x050.0093
8.2\x050.0212
8.9\x050.0147
10.4\x050.0383
10.9\x050.0288
11.8\x050.0499
12.1\x050.0429
12.3\x050.0446
12.6\x050.0472
13.8\x050.0843
14.4\x050.064
14.4\x050.0677
14.8\x050.092
14.9\x050.0799
15.2\x050.0901
15.5\x050.0948
15.6\x050.0962
15.6\x050.0715
15.8\x050.0901
16\x050.0916
16.4\x050.124
16.4\x050.0995
16.5\x050.1127
17\x050.1083
17\x050.1179
17.2\x050.1337
17.4\x050.1045
17.7\x050.1142
17.8\x050.1394
18\x050.1349
18\x050.1206
18\x050.125
18\x050.1229
18\x050.1284
18.1\x050.1481
18.2\x050.15
18.2\x050.1383
18.6\x050.1455
18.9\x050.1683
18.9\x050.1299
19\x050.1464
19.3\x050.1715
19.5\x050.1424
19.5\x050.1402
19.5\x050.2054
19.6\x050.1615
19.8\x050.193
19.8\x050.1614
19.8\x050.1717
20\x050.1857
20.2\x050.1967
20.3\x050.1943
20.4\x050.1904
20.4\x050.1873
20.5\x050.1725
20.6\x050.1696
20.8\x050.2145
21\x050.1835
21.1\x050.1651
21.2\x050.1968
21.2\x050.2149
21.7\x050.2149
21.7\x050.2276
21.8\x050.2379
22.1\x050.2226
22.5\x050.2272
22.7\x050.2394
22.7\x050.2318
22.8\x050.2203
23.4\x050.2574
23.8\x050.284
24.2\x050.2808
24.2\x050.2957
24.8\x050.321
25.1\x050.3129
25.1\x050.3321
26.1\x050.3698
26.3\x050.3621
26.8\x050.3918
28.5\x050.4745
28.9\x050.4455
29.2\x050.4744
31\x050.5271
31.5\x050.5739
32.2\x050.5956
32.7\x050.6327
33.1\x050.6438
33.7\x050.6608
34.2\x050.6818
34.9\x050.7562
35.1\x050.768
36.5\x050.828
37.3\x050.8612
38.2\x050.9084
38.6\x050.9762
39.6\x050.9889
40.3\x051.0647
40.6\x051.0414
41.6\x051.1206
拟合模型为幂方程.A为自变量,B为因变量.
A\x05B
7.3\x050.0125
7.5\x050.0093
8.2\x050.0212
8.9\x050.0147
10.4\x050.0383
10.9\x050.0288
11.8\x050.0499
12.1\x050.0429
12.3\x050.0446
12.6\x050.0472
13.8\x050.0843
14.4\x050.064
14.4\x050.0677
14.8\x050.092
14.9\x050.0799
15.2\x050.0901
15.5\x050.0948
15.6\x050.0962
15.6\x050.0715
15.8\x050.0901
16\x050.0916
16.4\x050.124
16.4\x050.0995
16.5\x050.1127
17\x050.1083
17\x050.1179
17.2\x050.1337
17.4\x050.1045
17.7\x050.1142
17.8\x050.1394
18\x050.1349
18\x050.1206
18\x050.125
18\x050.1229
18\x050.1284
18.1\x050.1481
18.2\x050.15
18.2\x050.1383
18.6\x050.1455
18.9\x050.1683
18.9\x050.1299
19\x050.1464
19.3\x050.1715
19.5\x050.1424
19.5\x050.1402
19.5\x050.2054
19.6\x050.1615
19.8\x050.193
19.8\x050.1614
19.8\x050.1717
20\x050.1857
20.2\x050.1967
20.3\x050.1943
20.4\x050.1904
20.4\x050.1873
20.5\x050.1725
20.6\x050.1696
20.8\x050.2145
21\x050.1835
21.1\x050.1651
21.2\x050.1968
21.2\x050.2149
21.7\x050.2149
21.7\x050.2276
21.8\x050.2379
22.1\x050.2226
22.5\x050.2272
22.7\x050.2394
22.7\x050.2318
22.8\x050.2203
23.4\x050.2574
23.8\x050.284
24.2\x050.2808
24.2\x050.2957
24.8\x050.321
25.1\x050.3129
25.1\x050.3321
26.1\x050.3698
26.3\x050.3621
26.8\x050.3918
28.5\x050.4745
28.9\x050.4455
29.2\x050.4744
31\x050.5271
31.5\x050.5739
32.2\x050.5956
32.7\x050.6327
33.1\x050.6438
33.7\x050.6608
34.2\x050.6818
34.9\x050.7562
35.1\x050.768
36.5\x050.828
37.3\x050.8612
38.2\x050.9084
38.6\x050.9762
39.6\x050.9889
40.3\x051.0647
40.6\x051.0414
41.6\x051.1206
拟合模型为幂方程.A为自变量,B为因变量.
▼优质解答
答案和解析
你可以选择加权的方式,是倒数还是什么
我经常帮别人做这类的数据分析的
我经常帮别人做这类的数据分析的
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