The name is absent



lute 6. Esimerkki pàivàkohtaisen Estimoinnin tuloksista

Taulukossa L6.1 on esitetty SPSS-ohjelman tuottamat tulokset paivakohtaisen

Fegressioyhtalon estimoinnista 28. helmikuuta.

Taulukko L6.1 Tulokset paivakohtaisen yhtâlôn estimoinnista 28.2.1997

* * * * MULTIPLE REGRESSION

Listwise Deletion of Missing Data

Equfition Number 1 Dependent Variable,. PROSLN

Block Number 1. Method: Enter MATUR MERKH

Variable (s) Entered on Step Number

1..      MERKH

2..     MATUR

Multiple
R Square
Adjusted
Standard

R

R Square

Error

. 72034

. 51890

.41198

.04820

Analysis

of Variance

DF

Sum of Squares

Mean Square

Regression

2

. 02255

.01128

Residual

9

.02091

. 00232

F =        4.85348       Signif F =  .0372

------------------------- Variables in the Equation

Variable

B

SE B

Beta

Tolerance

VIF

T

MATUR

- . 001368

6.6258E-04

- .477258

1.000000

1.000

~2.064

MERKH

-6.33769E-04

2.7158E-04

- . 539556

1.000000

1.000

-2.334

(Constant)

- .768418

. 275978

-2.784

------ in-------

Variable Sig T

MATUR       .0690

MERKH        ,0445

(Constant) .0212



More intriguing information

1. Luce Irigaray and divine matter
2. The economic doctrines in the wine trade and wine production sectors: the case of Bastiat and the Port wine sector: 1850-1908
3. Banking Supervision in Integrated Financial Markets: Implications for the EU
4. Confusion and Reinforcement Learning in Experimental Public Goods Games
5. Does Competition Increase Economic Efficiency in Swedish County Councils?
6. The name is absent
7. The name is absent
8. On the Desirability of Taxing Charitable Contributions
9. Personal Income Tax Elasticity in Turkey: 1975-2005
10. The name is absent