EL                  0.000598        0.111878      0.005349      0.9957

WAT              0.092929        0.095806      0.969970      0.3329

GAS               0.401649        0.107840      3.724502      0.0002

WC                0.423327        0.297281      1.423996      0.1555

TEL               -0.010431        0.731038      -0.014269      0.9886

ROAD           -0.104589        0.095192      -1.098712      0.2728

FOREST       0.014841        0.097042      0.152939      0.8786

RIVER          -0.257818        0.099483      -2.591569      0.0100

LN(SQU)       0.230043        0.096485      2.384240      0.0178

LN(MKAD)   -0.437693        0.090877      -4.816322      0.0000

Z1                  -0.072444        0.846314      -0.085600      0.9318

Z2                   0.530958        0.335069      1.584622      0.1141

Z3                   0.799096        0.275587      2.899614      0.0040

Z4                   0.387014        0.245119      1.578881      0.1154

Z5                   0.593308        0.394208      1.505062      0.1334

R-squared                  0.483673           Mean dependent var                     6.123477

Adjusted R-squared  0.457058          S.D. dependent var                       0.966970

S.E. of regression     0.712508          Akaike info criterion                      -0.627219

Sum squared resid   147.7311          Schwarz criterion                         -0.432986

Log likelihood            -323.3360          F-statistic                                     18.17308

Durbin-Watson stat   1.791071          Prob(F-statistic)                            0.000000

Курское направление

LN(PRICE) = 7.2035055 - 0.012993828*EL + 0.39150869*WAT + 0.26305989*GAS - 0.066238123*WC + 0.99157395*TEL + 0.088108908*ROAD - 0.11821644*FOREST + 0.21614314*RIVER - 0.13547526*LN(SQU) - 0.43318913*LN(MKAD) - 0.29316653*Z1 - 0.818894*Z2 - 0.077742065*Z3 - 0.10771119*Z4 - 0.035958122*Z5

LS // Dependent Variable is LN(PRICE)                                       

Included observations: 141 after adjusting endpoints                                          

Variable         Coefficient     Std. Error       t-Statistic        Prob. 

C                     7.203505       1.344009      5.359717      0.0000

EL                  -0.012994       0.181480      -0.071599      0.9430

WAT               0.391509       0.154472      2.534493      0.0125

GAS                0.263060       0.185494      1.418161      0.1586

WC                -0.066238       0.884732      -0.074868      0.9404

TEL                 0.991574       0.777281      1.275696      0.2044

ROAD             0.088109       0.145403      0.605965      0.5456

FOREST        -0.118216      0.163708      -0.722116      0.4716

RIVER            0.216143      0.168270      1.284499      0.2013

LN(SQU)        -0.135475      0.105938      -1.278820      0.2033

LN(MKAD)     -0.433189      0.301055      -1.438903      0.1527

Z1                   -0.293167       1.374322      -0.213317      0.8314

Z2                   -0.818894       0.977020      -0.838155      0.4035

Z3                   -0.077742       0.578606      -0.134361      0.8933

Z4                   -0.107711       0.257339      -0.418558      0.6763

Z5                   -0.035958       0.225253      -0.159635      0.8734

R-squared                  0.240081           Mean dependent var                     5.530674

Adjusted R-squared  0.148891          S.D. dependent var                       0.820699

S.E. of regression     0.757140          Akaike info criterion                      -0.449909

Sum squared resid   71.65770          Schwarz criterion                         -0.115298

Log likelihood            -152.3517          F-statistic                                      2.632748

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