Unusual Observations for pH kcl
pH kcl | Fit | SE Fit | Residual | St | Resid | ||
1 | 4.98152 | 4.33054 | 0.20726 | 0.65098 | 2.22 | R | |
7 | 4.89736 | 4.15806 | 0.20726 | 0.73930 | 2.52 | R | |
17 | 5.06689 | 4.46587 | 0.20726 | 0.60102 | 2.05 | R | |
28 | 5.06785 | 4.39945 | 0.20726 | 0.66839 | 2.28 | R | |
40 | 3.72119 | 4.47824 | 0.20726 | -0.75705 | -2.58 | R |
Có thể bạn quan tâm!
- Nghiên cứu một số biện pháp kỹ thuật bón phân cho cây cà phê vối Coffea canephora Pierre giai đoạn kinh doanh trên đất bazan tại Đắk Lắk - 20
- Một Số Hình Ảnh Thí Nghiệm Ngoài Đồng Ruộng
- Nghiên cứu một số biện pháp kỹ thuật bón phân cho cây cà phê vối Coffea canephora Pierre giai đoạn kinh doanh trên đất bazan tại Đắk Lắk - 22
- Nghiên cứu một số biện pháp kỹ thuật bón phân cho cây cà phê vối Coffea canephora Pierre giai đoạn kinh doanh trên đất bazan tại Đắk Lắk - 24
- Nghiên cứu một số biện pháp kỹ thuật bón phân cho cây cà phê vối Coffea canephora Pierre giai đoạn kinh doanh trên đất bazan tại Đắk Lắk - 25
- Nghiên cứu một số biện pháp kỹ thuật bón phân cho cây cà phê vối Coffea canephora Pierre giai đoạn kinh doanh trên đất bazan tại Đắk Lắk - 26
Xem toàn bộ 208 trang tài liệu này.
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.2045 | 0.2045 | 0.0511 | 0.50 | 0.738 |
K | 4 | 0.1255 | 0.1255 | 0.0314 | 0.31 | 0.873 |
N*K | 16 | 0.5508 | 0.5508 | 0.0344 | 0.33 | 0.990 |
Error | 50 | 5.1436 | 5.1436 | 0.1029 | ||
Total | 74 | 6.0244 |
R denotes an observation with a large standardized residual. Analysis of Variance for % Huu co (dat), using Adjusted SS for Tests
S = 0.320735 R-Sq = 14.62% R-Sq(adj) = 0.00%
Unusual Observations for % Huu co (dat)
% Huu co (dat) Fit SE Fit | Residual | St | Resid | |
14 | 2.76006 3.36193 0.18518 | -0.60186 | -2.30 R | |
15 | 3.77652 3.09673 0.18518 | 0.67979 | 2.60 R | |
40 | 2.42354 3.09673 0.18518 | -0.67319 | -2.57 R | |
75 | 3.83076 3.21447 0.18518 | 0.61629 | 2.35 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Dam tong so (dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.0119413 | 0.0119413 | 0.0029853 | 4.50 | 0.003 |
K | 4 | 0.0008380 | 0.0008380 | 0.0002095 | 0.32 | 0.866 |
N*K | 16 | 0.0055953 | 0.0055953 | 0.0003497 | 0.53 | 0.920 |
Error | 50 | 0.0331500 | 0.0331500 | 0.0006630 | ||
Total | 74 | 0.0515247 |
S = 0.0257488 R-Sq = 35.66% R-Sq(adj) = 4.78%
Unusual Observations for Dam tong so (dat) Dam tong
Obs so (dat) Fit SE Fit Residual St Resid
0.014866 | -0.046667 | -2.22 R | |
73 0.290000 0.243333 | 0.014866 | 0.046667 | 2.22 R |
74 0.310000 0.246667 | 0.014866 | 0.063333 | 3.01 R |
75 0.340000 0.256667 | 0.014866 | 0.083333 | 3.96 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Lan tong so(dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.0021887 | 0.0021887 | 0.0005472 | 1.47 | 0.225 |
K | 4 | 0.0028020 | 0.0028020 | 0.0007005 | 1.88 | 0.128 |
N*K | 16 | 0.0026580 | 0.0026580 | 0.0001661 | 0.45 | 0.960 |
Error | 50 | 0.0186000 | 0.0186000 | 0.0003720 | ||
Total | 74 | 0.0262487 |
S = 0.0192873 R-Sq = 29.14% R-Sq(adj) = 0.00%
Unusual Observations for Lan tong so(dat) Lan tong
Obs so(dat) Fit SE Fit Residual St Resid
0.011136 | -0.033333 | -2.12 R | |
24 0.180000 0.213333 | 0.011136 | -0.033333 | -2.12 R |
25 0.175000 0.208333 | 0.011136 | -0.033333 | -2.12 R |
69 0.255000 0.220000 | 0.011136 | 0.035000 | 2.22 R |
70 0.270000 0.213333 | 0.011136 | 0.056667 | 3.60 R |
74 0.255000 0.213333 | 0.011136 | 0.041667 | 2.65 R |
75 0.270000 0.208333 | 0.011136 | 0.061667 | 3.92 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Kali tong so(dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.0002753 | 0.0002753 | 0.0000688 | 0.23 | 0.922 |
K | 4 | 0.0053320 | 0.0053320 | 0.0013330 | 4.40 | 0.004 |
N*K | 16 | 0.0016247 | 0.0016247 | 0.0001015 | 0.34 | 0.990 |
Error | 50 | 0.0151500 | 0.0151500 | 0.0003030 | ||
Total | 74 | 0.0223820 |
S = 0.0174069 R-Sq = 32.31% R-Sq(adj) = 0.00%
Unusual Observations for Kali tong so(dat)
Kali tong so(dat) Fit | SE Fit | Residual St | Resid | |
14 | 0.100000 0.130000 | 0.010050 | -0.030000 | -2.11 R |
45 | 0.100000 0.131667 | 0.010050 | -0.031667 | -2.23 R |
59 | 0.150000 0.120000 | 0.010050 | 0.030000 | 2.11 R |
60 | 0.150000 0.120000 | 0.010050 | 0.030000 | 2.11 R |
70 | 0.175000 0.131667 | 0.010050 | 0.043333 | 3.05 R |
75 | 0.175000 0.136667 | 0.010050 | 0.038333 | 2.70 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Lan de tieu(dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 1.5006 | 1.5006 | 0.3751 | 0.87 | 0.487 |
K | 4 | 1.7484 | 1.7484 | 0.4371 | 1.02 | 0.408 |
N*K | 16 | 2.7472 | 2.7472 | 0.1717 | 0.40 | 0.977 |
Error | 50 | 21.5155 | 21.5155 | 0.4303 | ||
Total | 74 | 27.5117 |
S = 0.655981 R-Sq = 21.79% R-Sq(adj) = 0.00%
Unusual Observations for Lan de tieu(dat)
Lan de
Obs tieu(dat) Fit SE Fit Residual St Resid
0.37873 -1.07167 | -2.00 R | |
69 9.86500 8.13333 | 0.37873 1.73167 | 3.23 R |
70 9.10000 7.93667 | 0.37873 1.16333 | 2.17 R |
74 9.86500 8.21833 | 0.37873 1.64667 | 3.07 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Kali de tieu(dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 18.596 | 18.596 | 4.649 | 1.01 | 0.410 |
K | 4 | 97.084 | 97.084 | 24.271 | 5.28 | 0.001 |
N*K | 16 | 36.394 | 36.394 | 2.275 | 0.49 | 0.938 |
Error | 50 | 229.797 | 229.797 | 4.596 | ||
Total | 74 | 381.871 |
S = 2.14381 R-Sq = 39.82% R-Sq(adj) = 10.94%
Unusual Observations for Kali de tieu(dat) Kali de
Obs tieu(dat) Fit SE Fit Residual St Resid 24 17.9000 22.0667 1.2377 -4.1667 -2.38 R
59 22.7750 19.0967 1.2377 3.6783 2.10 R
60 25.3100 20.3900 1.2377 4.9200 2.81 R
70 24.6900 19.9550 1.2377 4.7350 2.71 R
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.10343 | 0.10343 | 0.02586 | 0.33 | 0.857 |
K | 4 | 0.48196 | 0.48196 | 0.12049 | 1.54 | 0.206 |
N*K | 16 | 0.98457 | 0.98457 | 0.06154 | 0.79 | 0.694 |
Error | 50 | 3.91814 | 3.91814 | 0.07836 | ||
Total | 74 | 5.48810 |
R denotes an observation with a large standardized residual. Analysis of Variance for Ca 2+(dat), using Adjusted SS for Tests
S = 0.279934 R-Sq = 28.61% R-Sq(adj) = 0.00%
Unusual Observations for Ca 2+(dat)
Obs Ca 2+(dat) Fit SE Fit Residual St Resid
2.32993 3.06199 | 0.16162 -0.73206 | -3.20 R | |
23 | 2.23869 2.75312 | 0.16162 -0.51443 | -2.25 R |
55 | 3.40811 2.85170 | 0.16162 0.55642 | 2.43 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Mg 2+ (dat), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.51465 | 0.51465 | 0.12866 | 2.62 | 0.046 |
K | 4 | 0.19521 | 0.19521 | 0.04880 | 0.99 | 0.420 |
N*K | 16 | 0.99834 | 0.99834 | 0.06240 | 1.27 | 0.253 |
Error | 50 | 2.45772 | 2.45772 | 0.04915 | ||
Total | 74 | 4.16592 |
S = 0.221708 R-Sq = 41.00% R-Sq(adj) = 12.69%
Unusual Observations for Mg 2+ (dat)
Obs Mg 2+ (dat) Fit SE Fit Residual St Resid
2.56725 2.13734 0.12800 0.42990 | 2.37 R | |
45 | 1.80344 2.29498 0.12800 -0.49154 | -2.72 R |
59 | 2.34947 1.97123 0.12800 0.37823 | 2.09 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 7.259 | 7.259 | 1.815 | 1.44 | 0.235 |
K | 4 | 7.369 | 7.369 | 1.842 | 1.46 | 0.228 |
N*K | 16 | 19.790 | 19.790 | 1.237 | 0.98 | 0.491 |
Error | 50 | 63.043 | 63.043 | 1.261 | ||
Total | 74 | 97.461 |
R denotes an observation with a large standardized residual. Analysis of Variance for CEC, using Adjusted SS for Tests
S = 1.12288 R-Sq = 35.32% R-Sq(adj) = 4.27%
Unusual Observations for CEC
CEC | Fit | SE Fit | Residual | St | Resid | ||
2 | 19.3700 | 17.3983 | 0.6483 | 1.9717 | 2.15 | R | |
7 | 13.9700 | 16.0000 | 0.6483 | -2.0300 | -2.21 | R | |
25 | 15.3050 | 17.2683 | 0.6483 | -1.9633 | -2.14 | R | |
57 | 18.1500 | 16.0000 | 0.6483 | 2.1500 | 2.35 | R | |
74 | 18.3800 | 16.5000 | 0.6483 | 1.8800 | 2.05 | R | |
75 | 19.4650 | 17.2683 | 0.6483 | 2.1967 | 2.40 | R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.50811 | 0.50811 | 0.12703 | 2.72 | 0.040 |
K | 4 | 0.53797 | 0.53797 | 0.13449 | 2.88 | 0.032 |
N*K | 16 | 1.73696 | 1.73696 | 0.10856 | 2.33 | 0.030 |
Error | 50 | 2.33195 | 2.33195 | 0.04664 | ||
Total | 74 | 3.51499 |
R denotes an observation with a large standardized residual. Analysis of Variance for N% (la), using Adjusted SS for Tests
S = 0.215961 R-Sq = 33.66% R-Sq(adj) = 1.81%
Unusual Observations for N% (la)
Fit SE Fit | Residual St Resid | |
33 3.07000 | 3.42500 0.12468 | -0.35500 -2.01 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.0008767 | 0.0008767 | 0.0002192 | 0.91 | 0.466 |
K | 4 | 0.0010967 | 0.0010967 | 0.0002742 | 1.14 | 0.350 |
N*K | 16 | 0.0018267 | 0.0018267 | 0.0001142 | 0.47 | 0.949 |
Error | 50 | 0.0120500 | 0.0120500 | 0.0002410 | ||
Total | 74 | 0.0158500 |
R denotes an observation with a large standardized residual. Analysis of Variance for P% (la), using Adjusted SS for Tests
S = 0.0155242 R-Sq = 23.97% R-Sq(adj) = 0.00%
Unusual Observations for P% (la)
Obs P% (la) Fit SE Fit Residual St Resid
0.008963 -0.030000 | -2.37 R | |
50 0.140000 0.166667 | 0.008963 -0.026667 | -2.10 R |
69 0.190000 0.161667 | 0.008963 0.028333 | 2.24 R |
70 0.210000 0.170000 | 0.008963 0.040000 | 3.16 R |
74 0.190000 0.155000 | 0.008963 0.035000 | 2.76 R |
75 0.210000 0.166667 | 0.008963 0.043333 | 3.42 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.82951 | 0.82951 | 0.20738 | 3.10 | 0.024 |
K | 4 | 1.43802 | 1.43802 | 0.35951 | 5.37 | 0.001 |
N*K | 16 | 2.31310 | 2.31310 | 0.14456 | 2.16 | 0.046 |
Error | 50 | 3.34663 | 3.34663 | 0.06693 | ||
Total | 74 | 5.78548 |
R denotes an observation with a large standardized residual. Analysis of Variance for K% (la), using Adjusted SS for Tests
S = 0.258713 R-Sq = 42.15% R-Sq(adj) = 14.39%
Unusual Observations for K% (la)
Fit | SE Fit | Residual St | Resid | ||
5 1.66000 | 2.14500 | 0.14937 | -0.48500 | -2.30 | R |
31 2.45000 | 1.97667 | 0.14937 | 0.47333 | 2.24 | R |
66 2.64000 | 2.11667 | 0.14937 | 0.52333 | 2.48 | R |
R denotes an observation with a large standardized residual. Analysis of Variance for CaO% (la), using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.5210 | 0.5210 | 0.1303 | 0.22 | 0.925 |
K | 4 | 1.1689 | 1.1689 | 0.2922 | 0.50 | 0.739 |
N*K | 16 | 1.1916 | 1.1916 | 0.0745 | 0.13 | 1.000 |
Error | 50 | 29.4427 | 29.4427 | 0.5889 | ||
Total | 74 | 32.3242 |
S = 0.767368 R-Sq = 8.91% R-Sq(adj) = 0.00%
Unusual Observations for CaO% (la)
Obs CaO% (la) Fit SE Fit Residual St Resid
0.44304 1.29667 | 2.07 R | |
35 2.98500 1.69167 | 0.44304 1.29333 | 2.06 R |
40 2.90000 1.63500 | 0.44304 1.26500 | 2.02 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.0051513 | 0.0051513 | 0.0012878 | 1.83 | 0.137 |
K | 4 | 0.0083113 | 0.0083113 | 0.0020778 | 2.96 | 0.029 |
N*K | 16 | 0.0115353 | 0.0115353 | 0.0007210 | 1.03 | 0.446 |
Error | 50 | 0.0351000 | 0.0351000 | 0.0007020 | ||
Total | 74 | 0.0600980 |
R denotes an observation with a large standardized residual. Analysis of Variance for MgO%(la), using Adjusted SS for Tests
S = 0.0264953 R-Sq = 41.60% R-Sq(adj) = 13.56%
Unusual Observations for MgO%(la)
Fit | SE Fit | Residual St | Resid | |
1 0.290000 | 0.333333 | 0.015297 | -0.043333 | -2.00 R |
26 0.390000 | 0.333333 | 0.015297 | 0.056667 | 2.62 R |
27 0.370000 | 0.325000 | 0.015297 | 0.045000 | 2.08 R |
45 0.320000 | 0.366667 | 0.015297 | -0.046667 | -2.16 R |
70 0.440000 | 0.366667 | 0.015297 | 0.073333 | 3.39 R |
R denotes an observation with a large standardized residual. Analysis of Variance for Diep luc a, using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.50811 | 0.50811 | 0.12703 | 2.71 | 0.041 |
K | 4 | 0.53797 | 0.53797 | 0.13449 | 2.87 | 0.033 |
N*K | 16 | 1.73696 | 1.73696 | 0.10856 | 2.32 | 0.031 |
Error | 50 | 2.33195 | 2.33195 | 0.04665 | ||
Total | 74 | 3.51499 |
S = 0.352712 R-Sq = 23.22% R-Sq(adj) = 0.00%
Unusual Observations for Diep luc a
Diep luc a Fit | SE Fit | Residual St | Resid | |
20 | 1.42843 2.01831 | 0.20364 | -0.58988 | -2.05 R |
60 | 2.38959 1.71487 | 0.20364 | 0.67472 | 2.34 R |
64 | 2.46982 1.69100 | 0.20364 | 0.77882 | 2.70 R |
71 | 2.27690 1.64050 | 0.20364 | 0.63641 | 2.21 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Diep luc b, using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 0.036353 | 0.036353 | 0.009088 | 0.98 | 0.425 |
K | 4 | 0.037708 | 0.037708 | 0.009427 | 1.02 | 0.406 |
N*K | 16 | 0.044699 | 0.044699 | 0.002794 | 0.30 | 0.994 |
Error | 50 | 0.462035 | 0.462035 | 0.009241 | ||
Total | 74 | 0.580795 |
S = 0.0961286 R-Sq = 20.45% R-Sq(adj) = 0.00%
Unusual Observations for Diep luc b
Obs Diep luc b Fit SE Fit Residual St Resid
1.15000 0.97606 | 0.05550 0.17394 | 2.22 R | |
69 | 1.23464 1.01226 | 0.05550 0.22238 | 2.83 R |
70 | 1.25462 1.04106 | 0.05550 0.21356 | 2.72 R |
75 | 1.25462 1.07396 | 0.05550 0.18066 | 2.30 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.9141 | 0.9141 | 0.2285 | 1.50 | 0.215 |
K | 4 | 1.4201 | 1.4201 | 0.3550 | 2.34 | 0.068 |
N*K | 16 | 0.4128 | 0.4128 | 0.0258 | 0.17 | 1.000 |
Error | 50 | 7.5937 | 7.5937 | 0.1519 | ||
Total | 74 | 10.3407 |
R denotes an observation with a large standardized residual. Analysis of Variance for Diep luc ts, using Adjusted SS for Tests
S = 0.389710 R-Sq = 26.57% R-Sq(adj) = 0.00%
Unusual Observations for Diep luc ts
Obs Diep luc ts Fit SE Fit Residual St Resid
2.36078 2.99793 0.22500 -0.63715 | -2.00 R | |
20 | 2.32660 3.05937 0.22500 -0.73277 | -2.30 R |
60 | 3.41398 2.65849 0.22500 0.75549 | 2.37 R |
64 | 3.38023 2.65550 0.22500 0.72473 | 2.28 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 1.025144 | 1.025144 | 0.256286 | 28.07 | 0.000 |
K | 4 | 0.535977 | 0.535977 | 0.133994 | 14.67 | 0.000 |
N*K | 16 | 1.654202 | 1.654202 | 0.103387 | 2.44 | 0.964 |
Error | 50 | 0.456580 | 0.456580 | 0.042372 | ||
Total | 74 | 2.081537 |
R denotes an observation with a large standardized residual. Analysis of Variance for Carotenoid, using Adjusted SS for Tests
S = 0.0955594 R-Sq = 78.07% R-Sq(adj) = 67.54%
Unusual Observations for Carotenoid
Obs Carotenoid Fit SE Fit Residual St Resid
1.47000 1.24000 | 0.05517 0.23000 | 2.95 R | |
33 | 1.34000 1.16000 | 0.05517 0.18000 | 2.31 R |
54 | 0.98000 1.13667 | 0.05517 -0.15667 | -2.01 R |
55 | 1.01000 1.24000 | 0.05517 -0.23000 | -2.95 R |
58 | 0.98000 1.16000 | 0.05517 -0.18000 | -2.31 R |
68 | 1.55619 1.31873 | 0.05517 0.23746 | 3.04 R |
Source | DF | Seq SS | Adj SS | Adj MS | F | P |
N | 4 | 0.8635 | 0.8635 | 0.2159 | 0.62 | 0.648 |
K | 4 | 0.3190 | 0.3190 | 0.0798 | 0.23 | 0.920 |
N*K | 16 | 0.1982 | 0.1982 | 0.0124 | 0.04 | 1.000 |
Error | 50 | 17.3291 | 17.3291 | 0.3466 | ||
Total | 74 | 18.7098 |
R denotes an observation with a large standardized residual. Analysis of Variance for CDTHN, using Adjusted SS for Tests
S = 0.588713 R-Sq = 7.38% R-Sq(adj) = 0.00%
Unusual Observations for CDTHN
Obs CDTHN Fit SE Fit Residual St Resid
1.33667 0.33989 1.10333 | 2.30 R | |
25 2.79000 | 1.49333 0.33989 1.29667 | 2.70 R |
R denotes an observation with a large standardized residual. Analysis of Variance for CĐQH, using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 48.60 | 48.60 | 12.15 | 2.88 | 0.028 |
K | 4 | 38.64 | 38.64 | 9.66 | 2.29 | 0.026 |
N*K | 16 | 160.26 | 160.26 | 10.02 | 2.37 | 0.042 |
Error | 50 | 1359.24 | 1359.24 | 4.22 | ||
Total | 74 | 1864.73 |
S = 5.21390 R-Sq = 27.11% R-Sq(adj) = 0.00%
Unusual Observations for CĐQH
Fit SE Fit | Residual | St Resid | |
21 25.0000 | 16.0667 3.0102 | 8.9333 | 2.10 R |
45 14.9000 | 24.2000 3.0102 | -9.3000 | -2.18 R |
64 28.9000 | 17.6333 3.0102 | 11.2667 | 2.65 R |
R denotes an observation with a large standardized residual.
Analysis of Variance for Nong do CO2 trong gian bao, using Adjusted SS for Tests
DF | Seq SS | Adj SS | Adj MS | F | P | |
N | 4 | 16528.7 | 16528.7 | 4132.2 | 6.56 | 0.000 |
K | 4 | 352.9 | 352.9 | 88.2 | 0.14 | 0.967 |
N*K | 16 | 757.8 | 757.8 | 47.4 | 0.08 | 1.000 |
Error | 50 | 31489.3 | 31489.3 | 629.8 | ||
Total | 74 | 49128.7 |
S = 25.0956 R-Sq = 35.90% R-Sq(adj) = 5.14%