Data Display

(1)

Regression mit DUMMY-Variablen WS 98/99 Umdruck 5

Seite - 1 - Worksheet size: 100000 cells

MTB > # Opening worksheet from file: C:\ARBEIT\Word\EDV- Prakt\Statistik\Dummy.dat

MTB > # File was last modified on 12/11/96

MTB > Name c1='Schuldv' c2='Nateink' c3='DUMM-Var' c4='Jahr' MTB > print c1-c4

Data Display

Row Schuldv Nateink DUMM-Var Jahr 1 2.6 2.4 0 1933 2 3.0 2.8 0 1934 3 3.6 3.1 0 1935 4 3.7 3.4 0 1936 5 3.8 3.9 0 1937 6 4.1 4.0 0 1938 7 4.4 4.2 0 1939 8 7.1 5.1 1 1940 9 8.0 6.3 1 1941 10 8.9 8.1 1 1942 11 9.7 8.8 1 1943 12 10.2 9.6 1 1944 13 10.1 9.7 1 1945 14 7.9 9.6 0 1946 15 8.7 10.4 0 1947 16 9.1 12.0 0 1948 17 10.1 12.9 0 1949 MTB > MTB > Plot 'Schuldv'*'Nateink';

SUBC> Symbol 'DUMM-Var';

SUBC> Jitter 0.025 0.025.

(2)

Seite - 2 - 0

1

12 7

2 11 10 9 8 7 6 5 4 3 2

Nateink

S c h u ld v

MTB > brief=3

MTB > regr c1 1 c2;

SUBC> xpxi m1.

Regression Analysis

The regression equation is Schuldv = 1.57 + 0.759 Nateink

Predictor Coef StDev T P Constant 1.5698 0.6337 2.48 0.026 Nateink 0.75936 0.08307 9.14 0.000 S = 1.156 R-Sq = 84.8% R-Sq(adj) = 83.8%

Analysis of Variance

Source DF SS MS F P Regression 1 111.71 111.71 83.56 0.000 Error 15 20.05 1.34

Total 16 131.76

Obs Nateink Schuldv Fit StDev Fit Residual St Resid 1 2.4 2.600 3.392 0.463 -0.792 -0.75 2 2.8 3.000 3.696 0.437 -0.696 -0.65 3 3.1 3.600 3.924 0.419 -0.324 -0.30 4 3.4 3.700 4.152 0.400 -0.452 -0.42 5 3.9 3.800 4.531 0.372 -0.731 -0.67 6 4.0 4.100 4.607 0.367 -0.507 -0.46 7 4.2 4.400 4.759 0.356 -0.359 -0.33 8 5.1 7.100 5.443 0.316 1.657 1.49

(3)

Seite - 3 - 9 6.3 8.000 6.354 0.284 1.646 1.47 10 8.1 8.900 7.721 0.299 1.179 1.06 11 8.8 9.700 8.252 0.324 1.448 1.30 12 9.6 10.200 8.860 0.362 1.340 1.22 13 9.7 10.100 8.936 0.367 1.164 1.06 14 9.6 7.900 8.860 0.362 -0.960 -0.87 15 10.4 8.700 9.467 0.407 -0.767 -0.71 16 12.0 9.100 10.682 0.512 -1.582 -1.53 17 12.9 10.100 11.366 0.576 -1.266 -1.26

MTB > print m1

Data Display

Matrix M1

0.300417 -0.035315 -0.035315 0.005162

(4)

Seite - 4 - MTB > brief=3

MTB > regr c1 2 c2 c3;

SUBC> xpxi m2.

Regression Analysis

The regression equation is

Schuldv = 1.29 + 0.681 Nateink + 2.30 DUMM-Var

Predictor Coef StDev T P Constant 1.2897 0.1155 11.16 0.000 Nateink 0.68141 0.01549 43.99 0.000 DUMM-Var 2.3044 0.1094 21.06 0.000 S = 0.2094 R-Sq = 99.5% R-Sq(adj) = 99.5%

Analysis of Variance

Source DF SS MS F P Regression 2 131.145 65.573 1495.92 0.000 Error 14 0.614 0.044

Total 16 131.759 Source DF Seq SS Nateink 1 111.706 DUMM-Var 1 19.439

Obs Nateink Schuldv Fit StDev Fit Residual St Resid 1 2.4 2.6000 2.9251 0.0868 -0.3251 -1.71 2 2.8 3.0000 3.1977 0.0827 -0.1977 -1.03 3 3.1 3.6000 3.4021 0.0797 0.1979 1.02 4 3.4 3.7000 3.6065 0.0770 0.0935 0.48 5 3.9 3.8000 3.9472 0.0728 -0.1472 -0.75 6 4.0 4.1000 4.0154 0.0721 0.0846 0.43 7 4.2 4.4000 4.1517 0.0706 0.2483 1.26 8 5.1 7.1000 7.0693 0.0961 0.0307 0.16 9 6.3 8.0000 7.8870 0.0891 0.1130 0.60 10 8.1 8.9000 9.1136 0.0855 -0.2136 -1.12 11 8.8 9.7000 9.5906 0.0865 0.1094 0.57 12 9.6 10.2000 10.1357 0.0893 0.0643 0.34 13 9.7 10.1000 10.2038 0.0897 -0.1038 -0.55 14 9.6 7.9000 7.8313 0.0818 0.0687 0.36 15 10.4 8.7000 8.3764 0.0901 0.3236 1.71 16 12.0 9.1000 9.4667 0.1092 -0.3667 -2.05R 17 12.9 10.1000 10.0799 0.1209 0.0201 0.12 R denotes an observation with a large standardized residual

MTB > print m2

Data Display

Matrix M2

0.304451 -0.034192 -0.033198 -0.034192 0.005475 -0.009241 -0.033198 -0.009241 0.273173

MTB >