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(1)

Worksheet size: 100000 cells

MTB > # Opening worksheet from file: C:\ARBEIT\Word\EDV-Prakt\Statistik\Regr.dat MTB > # File was last modified on 2/7/96

MTB > name c1='Ertrag' c2='N-Gabe' c3='Aussaatm' MTB > print c1-c3

Data Display

Row Ertrag N-Gabe Aussaatm 1 38 80 300 2 45 90 300 3 50 110 300 4 45 90 350 5 51 110 350 6 53 130 350 7 50 90 400 8 55 110 400 9 61 130 400 MTB > desc c1-c3

Descriptive Statistics

Variable N Mean Median Tr Mean StDev SE Mean Ertrag 9 49.78 50.00 49.78 6.61 2.20 N-Gabe 9 104.44 110.00 104.44 18.10 6.03 Aussaatm 9 350.0 350.0 350.0 43.3 14.4 Variable Min Max Q1 Q3

Ertrag 38.00 61.00 45.00 54.00 N-Gabe 80.00 130.00 90.00 120.00 Aussaatm 300.0 400.0 300.0 400.0 MTB > GSTD

* NOTE * Standard Graphics are enabled.

Professional Graphics are disabled.

Use the GPRO command to enable Professional Graphics.

MTB > LPlot c1 c2 c3

Character Letter Plot

-

Ertrag - J -

- 56.0+

- J

- L - L

- J N 48.0+

-

- 2 -

- 40.0+

- N -

----+---+---+---+---+---+--N-Gabe 80 90 100 110 120 130

(2)

MTB > gpro

* NOTE * Professional Graphics are enabled.

Standard Graphics are disabled.

Use the GSTD command to enable Standard Graphics.

(3)

MTB > corr c1-c3

Correlations (Pearson)

Ertrag N-Gabe N-Gabe 0.866

Aussaatm 0.721 0.399

MTB > Note Eindimensionale Regression MTB > Note ==========================

MTB >

MTB > regr c1 1 c2 c4 c5;

SUBC> predi 104.44.

Regression Analysis

The regression equation is Ertrag = 16.8 + 0.316 N-Gabe

Predictor Coef StDev T P Constant 16.763 7.309 2.29 0.056 N-Gabe 0.31610 0.06906 4.58 0.000 S = 3.536 R-Sq = 75.0% R-Sq(adj) = 71.4%

Analysis of Variance

Source DF SS MS F P Regression 1 262.01 262.01 20.95 0.000 Error 7 87.54 12.51

Total 8 349.56

Fit StDev Fit 95.0% CI 95.0% PI

49.78 1.18 ( 46.99, 52.56) ( 40.96, 58.59) MTB > name c4='ST.RES' c5='FIT'

MTB > plot c4*c5

60 50

40 1

0

-1

-2

FIT

ST.RES

(4)

MTB > GSTD

* NOTE * Standard Graphics are enabled.

Professional Graphics are disabled.

Use the GPRO command to enable Professional Graphics.

MTB > plot c4 c5

Character Plot

-

- *

1.2+ * - *

ST.RES - - -

0.0+ 2

- * - * -

- -1.2+

- *

- * -

-

--+---+---+---+---+---+----FIT 42.0 45.0 48.0 51.0 54.0 57.0

MTB > GPRO

* NOTE * Professional Graphics are enabled.

Standard Graphics are disabled.

MTB > Note Zweidimensionale Regression MTB > Note ===========================

MTB >

MTB > regr c1 2 c2 c3 c4 c5

Regression Analysis

The regression equation is

Ertrag = - 0.30 + 0.251 N-Gabe + 0.0681 Aussaatm Predictor Coef StDev T P Constant -0.302 6.678 -0.05 0.965 N-Gabe 0.25113 0.04678 5.37 0.002 Aussaatm 0.06814 0.01956 3.48 0.013 S = 2.197 R-Sq = 91.7% R-Sq(adj) = 89.0%

Analysis of Variance

Source DF SS MS F P

(5)

N-Gabe 1 262.01 Aussaatm 1 58.59

MTB > plot c4*c5

60 50

40 1

0

-1

-2

FIT

ST.RES

MTB > GSTD

* NOTE * Standard Graphics are enabled.

Professional Graphics are disabled.

Use the GPRO command to enable Professional Graphics.

MTB > plot c4 c5

Character Plot

- -

1.2+ * * -

ST.RES - * -

- * * 0.0+ *

-

- * -

-

-1.2+ * -

-

- * -

----+---+---+---+---+---+--FIT 40.0 44.0 48.0 52.0 56.0 60.0

(6)

MTB > print c1-c5

Data Display

Row Ertrag N-Gabe Aussaatm ST.RES FIT 1 38 80 300 -1.30660 40.2317 2 45 90 300 1.22333 42.7431 3 50 110 300 1.27655 47.7657 4 45 90 350 -0.58753 46.1503 5 51 110 350 -0.08418 51.1730 6 53 130 350 -1.88939 56.1956 7 50 90 400 0.28864 49.5575 8 55 110 400 0.22542 54.5802 9 61 130 400 0.82958 59.6029 MTB >

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