Appendix C
This document was uploaded by user and they confirmed that they have the permission to share it. If you are author or own the copyright of this book, please report to us by using this DMCA report form. Report DMCA
Overview
Download & View Appendix C as PDF for free.
More details
- Words: 4,547
- Pages: 25
TOTEX, 10% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.853 0.728 0.728 6363.590 0.000 0.277
Analysis of Variance SV SS Df MS F p-level Model 486.5398 1 486.5398 6363.590 0.00 Residual 181.7378 2377 0.0765 Total
668.2776 2374 Predicted vs. Residuals P re d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Durbin-Watson Test for the independence of error terms
DW STAT Estimate
2.075187
Serial Correlation -0.038196
1 3 .0
1 3 .5
9 5 % c o n f id e n c e
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
R e s id u a ls
TOTEX, 10% Nonresponse Rate, Second Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.884 0.782 0.781 4574.954 0.000 0.309
Analysis of Variance SV SS df MS F p-level Model 436.3063 1 436.3063 4574.954 0.00 Residual 121.8809 1278 0.0954 Total 558.1871 1279
Durbin-Watson Test for the independence of error terms DW Serial STAT Correlation Estimate 2.043782 -0.022334
Normal Probability Plot
2 .0
2 .5
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.9499 0.9023 0.9005 516.8993 0.0000
Analysis of variance
1 4 .5
9 5 % c o n f id e n c e
TOTEX, 10% Nonresponse Rate, Third Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 4 .0
0.3314
SV SS Df MS F p-level Model 56.78424 1 56.78424 516.8993 0.000000 Residual 6.15191 56 0.10986 Total 62.93615
Durbin-Watson Test for Independence of Error terms
DW Serial STAT Correlation Estimate 2.167374 -0.094747
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
R e s id u a ls
Predicted vs. Residual Scatter Plot
0 .6
0 .8
1 .0
1 .2
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
1 4 .0
P r e d ic t e d V a lu e s
1 5 .0
9 5 % c o n f id e n c e
TOTEX, 20% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 4 .5
0.857 0.734 0.734 5786.271 0.000 0.273
Analysis of Variance SV SS df MS F p-level Model 429.7392 1 429.7392 5786.271 0.00 Residual 155.8159 2098 0.0743 Total 585.5551 2099 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.013534 -0.006859
Normality Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
R e s id u a ls
Predicted vs. Residual Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s D e p e n d e n t v a r ia b le : L N S V 2 .5 2 .0
Residuals
1 .5 1 .0 0 .5 0 .0 -0 .5 -1 .0 -1 .5 -2 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.887 0.787 0.787 4268.380 0.000 0.308
Analysis Of Variance SV Model
SS 405.0530
df 1
1 3 .5
9 5 % c o n f id e n c e
Expenditure, 20% Nonresponse Rate, Second Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .0
MS F p-level 405.0530 4268.380 0.00
Residual 109.3204 1152 Total 514.3734
0.0949
Durbin-Watson Test for Independence of Error terms
DW Serial STAT Correlation Estimate 2.014977 -0.007528 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b l e : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Expenditure, 20% Nonresponse Rate, Third Imputation Class Summary Statistics of the model
1 4 .0
1 4 .5
9 5 % c o n f id e n c e
0.9490 0.9006 0.8985 434.6591 0.0000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.3336
Analysis of Variance SV SS df MS F p-level Model 48.36771 1 48.36771 434.6591 0.000000 Residual 5.34131 48 0.11128 Total 53.70902 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.268400 -0.167040
Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
R e s id u a l s
Predicted vs. Residuals Scatterplot
0 .4
0 .6
0 .8
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b l e : L N S V 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2.5
1 3 .0
1 3 .5
1 4 .0
P r e d ic t e d V a lu e s
Expenditure, 30% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.840 0.705 0.705 4382.102 0.000 0.290
Analysis of Variance SV SS df MS F p-level Model 367.4335 1 367.4335 4382.102 0.00 Residual 153.5270 1831 0.0838 Total 520.9605 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.072061 -0.036173
Normal Probability Plot
1 4 .5
1 5 .0
9 5 % c o n f id e n c e
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.890 0.791 0.791 3841.345 0.000 0.300
Analysis of Variance SV
SS
df
MS
1 3 .5
9 5 % c o n f id e n c e
Expenditure, 30% Nonresponse Rate, Second Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .0
F
p-level
Model 346.1192 1 346.1192 3841.345 0.00 Residual 91.1849 1012 0.0901 Total 437.3041 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.023625 -0.012021 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls
Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot
1 .5
2 .0
2 .5
3 .0
P r e d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
P r e d ic t e d V a lu e s
1 4 .0
9 5 % c o n f id e n c e
Expenditure, 30% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .5
0.9425 0.8882 0.8856 333.7148 0.0000 0.3237
Analysis of Variance SV SS df MS F p-level Model 34.97366 1 34.97366 333.7148 0.000000 Residual 4.40164 42 0.10480 Total 39.37531 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.589756 -0.326722
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 -0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 1 1 0 0 0 0 0 -0 -0 -0 -0
.2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Income, 10% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.840 0.706 0.706 5703.605 0.000 0.331
Analysis of Variance SV SS df MS F p-level Model 625.0487 1 625.0487 5703.605 0.00 Residual 260.4915 2377 0.1096
1 4 .0
1 4 .5
9 5 % c o n f id e n c e
Total
885.5402
Durbin-Watson Test for independence of error terms DW Serial STAT Correlation Estimate 2.047121 -0.023913 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P re d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 7
8
9
10
11
12
P r e d ic t e d V a lu e s
13
14 9 5 % c o n f id e n c e
Income Variable, 10% Nonresponse Rate, Second Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R
0.897 0.805 0.804
5261.480 0.000
F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.331
Analysis of Variance SV SS df MS F p-level Model 576.7623 1 576.7623 5261.480 0.00 Residual 140.0941 1278 0.1096 Total 716.8564 Durbin-Watson Test DW Serial STAT Estimate 1.934528 0.031428 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .5
-2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
R e s id u a ls
Predicted vs. Residuals
1 .0
1 .5
2 .0
2 .5
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 8
9
10
11
12
13
14
P r e d ic t e d V a lu e s
Income Variable, 10% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.9591 0.9199 0.9185 642.9754 0.0000 0.3171
Analysis of Variance SV SS df MS F p-level Model 64.67059 1 64.67059 642.9753 0.000000 Residual 5.63249 56 0.10058 Total 70.30308 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.157647 -0.079104
Normal Probability Plot
15 9 5 % c o n f id e n c e
N o r m a l P r o b a b il i t y P l o t o f R e s id u al s 2 1 0 -1 -2 -3 - 1 .2
- 1 .0
- 0 .8
- 0 .6
- 0 .4
- 0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
1 .4
1 .6
R e s id u a l s
Predicted vs. Residuals Scatter Plot P re dicte d v s. R e si du a l S co res D e p e n d e n t v a r ia b le : L N S V
Residuals
Expected Normal Value
3
1 1 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.6 .4 .2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2
10
11
12
13
14
P r e d ic t e d V a lu e s
Income, 20% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.838 0.703 0.702 4954.234 0.000
Analysis of Variance
0.331
15
16 9 5 % c o n f id e n c e
SV SS df MS F p-level Model 542.9226 1 542.9226 4954.233 0.00 Residual 229.9148 2098 0.1096 Total 772.8375 Durbin-Watson Test DW Serial Stat Correlation Estimate 1.985916 0.007035 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals P re d i c t e d v s . R e s id u a l S c o r e s D e p e n d e n t v a r ia b le : L N S V 3 .0
Residuals
2 .5 2 .0 1 .5 1 .0 0 .5 0 .0 -0 .5 -1 .0 -1 .5 7
8
9
10
11
12
P r e d ic t e d V a lu e s
Income, 20% Nonresponse Rate, Second Imputation Class Summary Statistics of the model
13
14 9 5 % c o n f id e n c e
0.906 0.821 0.821 5275.064 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.318
Analysis of Variance SV SS Model 532.7126 Residual 116.3370 Total 649.0496
df 1 1152
MS F p-level 532.7126 5275.063 0.00 0.1010
Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 1.980753 0.008036 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .5
-2 .0
-1 .5
-1 .0
-0 .5
0 .0
R e s id u a ls
Predicted vs. Residuals
0 .5
1 .0
1 .5
2 .0
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 1 1 0 0 -0 -1 -1 -2 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 9
10
11
12
13
P r e d ic t e d V a lu e s
15 9 5 % c o n f id e n c e
Income, 20% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
14
0.9566 0.9151 0.9133 517.0385 0.0000 0.3277
Analysis of Variance SV SS df MS F p-level Model 55.51737 1 55.51737 517.0385 0.000000 Residual 5.15403 48 0.10738 Total 60.67140 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.280743 -0.142227
Normal Probability Plot
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
1 .4
1 .6
R e s id u a ls
Predicted vs. Residuals P re d ic te d v s. R e sid u a l S c o re s
Residuals
D e p e n d e n t v a ria b le : L N S V 1 1 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.6 .4 .2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 10
11
12
13
14
15
P re d ic te d V a lu e s
9 5 % c o n fid e n c e
Income, 30% Nonresponse Rate, First Imputation Class Summary Statistics of the model 0.845 0.713 0.713 4557.328 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.330
Analysis of Variance SV
SS
df
MS
16
F
p-level
Model 496.0775 1 496.0775 4557.328 0.00 Residual 199.3093 1831 0.1089 Total 695.3868 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.094357 -0.047223 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
1 3 .0
1 3 .5
3.0
R e s id u a ls
Predicted vs. Residuals Scatter plot P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9.0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
9 5 % c o n f id e n c e
Income, 30% Nonresponse Rate, Second Imputation Class Summary Statistics of the model
1 4 .0
0.909 0.826 0.826 4793.392 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.310
Analysis of Variance SS df MS F p-level Model 460.5995 1 460.5995 4793.392 0.00 Residual 97.2436 1012 0.0961 Total 557.8431 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.072614 -0.038549 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
R e s id u a ls
Predicted vs. Residuals Scatter plot
1 .0
1 .5
2 .0
P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0
9
10
11
12
13
14
P r e d ic t e d V a lu e s
9 5 % c o n f id e n c e
Income, 30% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
15
0.9654 0.9319 0.9303 574.8240 0.0000 0.2753
Analysis of Variance SS df MS F p-level Model 43.55594 1 43.55594 574.8240 0.000000 Residual 3.18245 42 0.07577 Total 46.73840 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.249448 -0.190671
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 -1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0.8
R e s id u a ls
Predicted vs. Residuals Scatterplots P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 0 0 0 0 0 -0 -0 -0 -0 -1
.8 .6 .4 .2 .0 .2 .4 .6 .8 .0 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5 P r e d ic t e d V a lu e s
1 3 .0
1 3 .5
1 4 .0
1 4 .5
1 5 .0
9 5 % c o n f id e n c e
0.853 0.728 0.728 6363.590 0.000 0.277
Analysis of Variance SV SS Df MS F p-level Model 486.5398 1 486.5398 6363.590 0.00 Residual 181.7378 2377 0.0765 Total
668.2776 2374 Predicted vs. Residuals P re d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Durbin-Watson Test for the independence of error terms
DW STAT Estimate
2.075187
Serial Correlation -0.038196
1 3 .0
1 3 .5
9 5 % c o n f id e n c e
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
R e s id u a ls
TOTEX, 10% Nonresponse Rate, Second Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.884 0.782 0.781 4574.954 0.000 0.309
Analysis of Variance SV SS df MS F p-level Model 436.3063 1 436.3063 4574.954 0.00 Residual 121.8809 1278 0.0954 Total 558.1871 1279
Durbin-Watson Test for the independence of error terms DW Serial STAT Correlation Estimate 2.043782 -0.022334
Normal Probability Plot
2 .0
2 .5
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.9499 0.9023 0.9005 516.8993 0.0000
Analysis of variance
1 4 .5
9 5 % c o n f id e n c e
TOTEX, 10% Nonresponse Rate, Third Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 4 .0
0.3314
SV SS Df MS F p-level Model 56.78424 1 56.78424 516.8993 0.000000 Residual 6.15191 56 0.10986 Total 62.93615
Durbin-Watson Test for Independence of Error terms
DW Serial STAT Correlation Estimate 2.167374 -0.094747
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
R e s id u a ls
Predicted vs. Residual Scatter Plot
0 .6
0 .8
1 .0
1 .2
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
1 4 .0
P r e d ic t e d V a lu e s
1 5 .0
9 5 % c o n f id e n c e
TOTEX, 20% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 4 .5
0.857 0.734 0.734 5786.271 0.000 0.273
Analysis of Variance SV SS df MS F p-level Model 429.7392 1 429.7392 5786.271 0.00 Residual 155.8159 2098 0.0743 Total 585.5551 2099 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.013534 -0.006859
Normality Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
R e s id u a ls
Predicted vs. Residual Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s D e p e n d e n t v a r ia b le : L N S V 2 .5 2 .0
Residuals
1 .5 1 .0 0 .5 0 .0 -0 .5 -1 .0 -1 .5 -2 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.887 0.787 0.787 4268.380 0.000 0.308
Analysis Of Variance SV Model
SS 405.0530
df 1
1 3 .5
9 5 % c o n f id e n c e
Expenditure, 20% Nonresponse Rate, Second Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .0
MS F p-level 405.0530 4268.380 0.00
Residual 109.3204 1152 Total 514.3734
0.0949
Durbin-Watson Test for Independence of Error terms
DW Serial STAT Correlation Estimate 2.014977 -0.007528 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b l e : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Expenditure, 20% Nonresponse Rate, Third Imputation Class Summary Statistics of the model
1 4 .0
1 4 .5
9 5 % c o n f id e n c e
0.9490 0.9006 0.8985 434.6591 0.0000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.3336
Analysis of Variance SV SS df MS F p-level Model 48.36771 1 48.36771 434.6591 0.000000 Residual 5.34131 48 0.11128 Total 53.70902 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.268400 -0.167040
Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
R e s id u a l s
Predicted vs. Residuals Scatterplot
0 .4
0 .6
0 .8
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b l e : L N S V 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2.5
1 3 .0
1 3 .5
1 4 .0
P r e d ic t e d V a lu e s
Expenditure, 30% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.840 0.705 0.705 4382.102 0.000 0.290
Analysis of Variance SV SS df MS F p-level Model 367.4335 1 367.4335 4382.102 0.00 Residual 153.5270 1831 0.0838 Total 520.9605 Durbin-Watson Test for Independence of Error terms DW Serial Stat Correlation Estimate 2.072061 -0.036173
Normal Probability Plot
1 4 .5
1 5 .0
9 5 % c o n f id e n c e
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
Summary Statistics of the model 0.890 0.791 0.791 3841.345 0.000 0.300
Analysis of Variance SV
SS
df
MS
1 3 .5
9 5 % c o n f id e n c e
Expenditure, 30% Nonresponse Rate, Second Imputation Class
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .0
F
p-level
Model 346.1192 1 346.1192 3841.345 0.00 Residual 91.1849 1012 0.0901 Total 437.3041 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.023625 -0.012021 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls
Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot
1 .5
2 .0
2 .5
3 .0
P r e d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
P r e d ic t e d V a lu e s
1 4 .0
9 5 % c o n f id e n c e
Expenditure, 30% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
1 3 .5
0.9425 0.8882 0.8856 333.7148 0.0000 0.3237
Analysis of Variance SV SS df MS F p-level Model 34.97366 1 34.97366 333.7148 0.000000 Residual 4.40164 42 0.10480 Total 39.37531 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.589756 -0.326722
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 -0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
R e s id u a ls
Predicted vs. Residuals Scatter Plot P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 1 1 0 0 0 0 0 -0 -0 -0 -0
.2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
1 3 .0
1 3 .5
P r e d ic t e d V a lu e s
Income, 10% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.840 0.706 0.706 5703.605 0.000 0.331
Analysis of Variance SV SS df MS F p-level Model 625.0487 1 625.0487 5703.605 0.00 Residual 260.4915 2377 0.1096
1 4 .0
1 4 .5
9 5 % c o n f id e n c e
Total
885.5402
Durbin-Watson Test for independence of error terms DW Serial STAT Correlation Estimate 2.047121 -0.023913 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals Scatter Plot P re d i c t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r i a b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 7
8
9
10
11
12
P r e d ic t e d V a lu e s
13
14 9 5 % c o n f id e n c e
Income Variable, 10% Nonresponse Rate, Second Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R
0.897 0.805 0.804
5261.480 0.000
F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.331
Analysis of Variance SV SS df MS F p-level Model 576.7623 1 576.7623 5261.480 0.00 Residual 140.0941 1278 0.1096 Total 716.8564 Durbin-Watson Test DW Serial STAT Estimate 1.934528 0.031428 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .5
-2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
R e s id u a ls
Predicted vs. Residuals
1 .0
1 .5
2 .0
2 .5
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 8
9
10
11
12
13
14
P r e d ic t e d V a lu e s
Income Variable, 10% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.9591 0.9199 0.9185 642.9754 0.0000 0.3171
Analysis of Variance SV SS df MS F p-level Model 64.67059 1 64.67059 642.9753 0.000000 Residual 5.63249 56 0.10058 Total 70.30308 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.157647 -0.079104
Normal Probability Plot
15 9 5 % c o n f id e n c e
N o r m a l P r o b a b il i t y P l o t o f R e s id u al s 2 1 0 -1 -2 -3 - 1 .2
- 1 .0
- 0 .8
- 0 .6
- 0 .4
- 0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
1 .4
1 .6
R e s id u a l s
Predicted vs. Residuals Scatter Plot P re dicte d v s. R e si du a l S co res D e p e n d e n t v a r ia b le : L N S V
Residuals
Expected Normal Value
3
1 1 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.6 .4 .2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2
10
11
12
13
14
P r e d ic t e d V a lu e s
Income, 20% Nonresponse Rate, First Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.838 0.703 0.702 4954.234 0.000
Analysis of Variance
0.331
15
16 9 5 % c o n f id e n c e
SV SS df MS F p-level Model 542.9226 1 542.9226 4954.233 0.00 Residual 229.9148 2098 0.1096 Total 772.8375 Durbin-Watson Test DW Serial Stat Correlation Estimate 1.985916 0.007035 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
3 .0
R e s id u a ls
Predicted vs. Residuals P re d i c t e d v s . R e s id u a l S c o r e s D e p e n d e n t v a r ia b le : L N S V 3 .0
Residuals
2 .5 2 .0 1 .5 1 .0 0 .5 0 .0 -0 .5 -1 .0 -1 .5 7
8
9
10
11
12
P r e d ic t e d V a lu e s
Income, 20% Nonresponse Rate, Second Imputation Class Summary Statistics of the model
13
14 9 5 % c o n f id e n c e
0.906 0.821 0.821 5275.064 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.318
Analysis of Variance SV SS Model 532.7126 Residual 116.3370 Total 649.0496
df 1 1152
MS F p-level 532.7126 5275.063 0.00 0.1010
Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 1.980753 0.008036 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .5
-2 .0
-1 .5
-1 .0
-0 .5
0 .0
R e s id u a ls
Predicted vs. Residuals
0 .5
1 .0
1 .5
2 .0
P r e d ic t e d v s . R e s id u a l S c o r e s
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 1 1 0 0 -0 -1 -1 -2 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 9
10
11
12
13
P r e d ic t e d V a lu e s
15 9 5 % c o n f id e n c e
Income, 20% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
14
0.9566 0.9151 0.9133 517.0385 0.0000 0.3277
Analysis of Variance SV SS df MS F p-level Model 55.51737 1 55.51737 517.0385 0.000000 Residual 5.15403 48 0.10738 Total 60.67140 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.280743 -0.142227
Normal Probability Plot
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
3 2 1 0 -1 -2 -3 -1 .2
-1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0 .8
1 .0
1 .2
1 .4
1 .6
R e s id u a ls
Predicted vs. Residuals P re d ic te d v s. R e sid u a l S c o re s
Residuals
D e p e n d e n t v a ria b le : L N S V 1 1 1 1 0 0 0 0 0 -0 -0 -0 -0 -1 -1
.6 .4 .2 .0 .8 .6 .4 .2 .0 .2 .4 .6 .8 .0 .2 10
11
12
13
14
15
P re d ic te d V a lu e s
9 5 % c o n fid e n c e
Income, 30% Nonresponse Rate, First Imputation Class Summary Statistics of the model 0.845 0.713 0.713 4557.328 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.330
Analysis of Variance SV
SS
df
MS
16
F
p-level
Model 496.0775 1 496.0775 4557.328 0.00 Residual 199.3093 1831 0.1089 Total 695.3868 Durbin-Watson Test for Independence of error terms DW Serial Stat Correlation Estimate 2.094357 -0.047223 Normal Probability Plot N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls Expected Normal Value
4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
1 .0
1 .5
2 .0
2 .5
1 3 .0
1 3 .5
3.0
R e s id u a ls
Predicted vs. Residuals Scatter plot P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 3 2 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0 .5 .0 9.0
9 .5
1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5
P r e d ic t e d V a lu e s
9 5 % c o n f id e n c e
Income, 30% Nonresponse Rate, Second Imputation Class Summary Statistics of the model
1 4 .0
0.909 0.826 0.826 4793.392 0.000
MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
0.310
Analysis of Variance SS df MS F p-level Model 460.5995 1 460.5995 4793.392 0.00 Residual 97.2436 1012 0.0961 Total 557.8431 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.072614 -0.038549 Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 4 3 2 1 0 -1 -2 -3 -4 -2 .0
-1 .5
-1 .0
-0 .5
0 .0
0 .5
R e s id u a ls
Predicted vs. Residuals Scatter plot
1 .0
1 .5
2 .0
P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 2 1 1 0 0 -0 -1 -1 -2
.0 .5 .0 .5 .0 .5 .0 .5 .0
9
10
11
12
13
14
P r e d ic t e d V a lu e s
9 5 % c o n f id e n c e
Income, 30% Nonresponse Rate, Third Imputation Class Summary Statistics of the model MULTIPLE R MULTIPLE R2 ADJUSTED R F-STAT P-VALUE STD. ERR. OF ESTIMATE
15
0.9654 0.9319 0.9303 574.8240 0.0000 0.2753
Analysis of Variance SS df MS F p-level Model 43.55594 1 43.55594 574.8240 0.000000 Residual 3.18245 42 0.07577 Total 46.73840 Durbin-Watson Test for independence of error terms DW Serial Stat Correlation Estimate 2.249448 -0.190671
Normal Probability Plot
Expected Normal Value
N o r m a l P r o b a b ilit y P lo t o f R e s id u a ls 2 2 1 1 0 0 -0 -1 -1 -2 -2
.5 .0 .5 .0 .5 .0 .5 .0 .5 .0 .5 -1 .0
-0 .8
-0 .6
-0 .4
-0 .2
0 .0
0 .2
0 .4
0 .6
0.8
R e s id u a ls
Predicted vs. Residuals Scatterplots P re dicte d v s. R e si du a l S co res
Residuals
D e p e n d e n t v a r ia b le : L N S V 0 0 0 0 0 -0 -0 -0 -0 -1
.8 .6 .4 .2 .0 .2 .4 .6 .8 .0 1 0 .0
1 0 .5
1 1 .0
1 1 .5
1 2 .0
1 2 .5 P r e d ic t e d V a lu e s
1 3 .0
1 3 .5
1 4 .0
1 4 .5
1 5 .0
9 5 % c o n f id e n c e
Related Documents
Appendix C
December 2019 12
Appendix C:
June 2020 7
Appendix C
November 2019 9
Appendix C
October 2019 12
Appendix C
October 2019 10