Рефераты. Моделирование формирования цен на земельные участки Московской области. Кадастровая оценка земель

Z3                    1.026234       0.247162      4.152076      0.0001

Z4                    0.722691       0.195322      3.699990      0.0003

Z5                   -0.531633       0.687414      -0.773382      0.4405

                                               

R-squared                  0.602023           Mean dependent var                     6.099806

Adjusted R-squared  0.564000          S.D. dependent var                       0.992992

S.E. of regression     0.655676          Akaike info criterion                      -0.756252

Sum squared resid   67.49603          Schwarz criterion                         -0.464618

Log likelihood            -164.0606          F-statistic                                     15.83301

Durbin-Watson stat   2.245641          Prob(F-statistic)                            0.000000

                                               

 

 

 

Казанское направление

 

LN(PRICE) = 6.9040789 + 0.34526888*EL + 0.12405055*WAT + 0.18869291*GAS - 0.60746533*WC - 0.81654511*TEL - 0.036112493*ROAD - 0.090087358*FOREST + 0.16458687*RIVER + 0.39180948*LN(SQU) - 0.73456461*LN(MKAD) - 0.23197312*Z1 - 0.083669*Z2 - 0.64306212*Z3 + 0.14476455*Z4 - 0.2004949*Z5

 

LS // Dependent Variable is LN(PRICE)                                       

                                   

Included observations: 118                                     

                                               

                                               

Variable         Coefficient     Std. Error       t-Statistic        Prob. 

                                               

C                     6.904079       1.259503      5.481589      0.0000

EL                   0.345269       0.202017      1.709111      0.0905

WAT               0.124051       0.161872      0.766347      0.4452

GAS                0.188693       0.201739      0.935332      0.3518

WC                -0.607465       0.607755      -0.999523      0.3199

TEL                -0.816545       0.474930      -1.719296      0.0886

ROAD            -0.036112       0.180892      -0.199636      0.8422

FOREST        -0.090087      0.177843      -0.506556      0.6136

RIVER            0.164587      0.174485      0.943272      0.3478

LN(SQU)        0.391809      0.169016      2.318177      0.0224

LN(MKAD)     -0.734565      0.261145      -2.812861      0.0059

Z1                   -0.231973       1.021114      -0.227177      0.8207

Z2                   -0.083669       0.658563      -0.127048      0.8992

Z3                   -0.643062       0.639217      -1.006016      0.3168

Z4                    0.144765       0.348880      0.414941      0.6791

Z5                   -0.200495       0.289912      -0.691573      0.4908

                                               

R-squared                  0.513905           Mean dependent var                     5.418579

Adjusted R-squared  0.442421          S.D. dependent var                       1.041129

S.E. of regression     0.777424          Akaike info criterion                      -0.378064

Sum squared resid   61.64757          Schwarz criterion                         -0.002378

Log likelihood            -129.1289          F-statistic                                      7.189038

Durbin-Watson stat   2.065796          Prob(F-statistic)                            0.000000

                                               

 

 

Киевское направление

 

LN(PRICE) = 6.2950012 + 0.00059839431*EL + 0.092929326*WAT + 0.4016492*GAS + 0.42332728*WC - 0.010431107*TEL - 0.10458877*ROAD + 0.014841448*FOREST - 0.25781806*RIVER + 0.23004302*LN(SQU) - 0.43769331*LN(MKAD) - 0.072444234*Z1 + 0.53095758*Z2 + 0.79909599*Z3 + 0.38701369*Z4 + 0.5933079*Z5

 

LS // Dependent Variable is LN(PRICE)                                       

                                   

Included observations: 307 after adjusting endpoints                                          

                                               

Variable         Coefficient     Std. Error       t-Statistic        Prob. 

                                               

C                    6.295001        0.479543      13.12709      0.0000

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