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value added by active bidder

R Software Module: esteq.wasp (opens new window with default values)
Title produced by software: Estimate Equation
Date of computation: Mon, 17 Dec 2007 07:19:40 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Dec/17/t1197900403lkqec34n63jexi2.htm/, Retrieved Mon, 17 Dec 2007 15:06:43 +0100
 
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Text written by user:
 
Output produced by software:
This free online calculator computes equations with the following options: constant, linear deterministic trend, first differences, hyperbolic, exponential, geometric, quadratic, cubic, quartic, seasonal dummies, predetermination (lagged endogenous variables), Ordinary Least Squares, Bootstrap, Jackknife.

Econometric Regression Equation

Multiple Linear Regression - Estimated Regression Equation
PPU[t] = +0.16551500154105 Activebidder[t] +0.45287229805922 PAV[t] -852.64401531746 + e[t]

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
Activebidder[t]0.1655150.0314975.2549291E-060
PAV[t]0.4528720.01956323.14936500
Constant-852.64401565.683426-12.98111400
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%Activebidder[t]0.2229980.042436-18.30995400
%PAV[t]1.7703640.07647610.07331800
%Constant-0.9933620.076524-0.0867390.9309980.465499
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-Activebidder[t]0.189760.0361115.2549291E-060
S-PAV[t]0.8359460.03611123.14936500
S-Constant00010.5
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Activebidder[t]0.398817
PAV[t]0.886504
Constant-0.731973
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96

Multiple Linear Regression - Regression Statistics
Multiple R0.908295
R-squared0.825
Adjusted R-squared0.822603
F-TEST344.143814
Observations149
Degrees of Freedom146
Multiple Linear Regression - Residual Statistics
Standard Error75.262313
Sum Squared Errors827004.692165
Log Likelihood-853.732482
Durbin-Watson1.238188
Von Neumann Ratio1.246554
# e[t] > 069
# e[t] < 080
# Runs53
Stand. Normal Runs Statistic-3.652349

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error5778.464338
Akaike (1973) Log Information Criterion8.661888
Akaike (1974) Information Criterion5778.432887
Schwarz (1978) Log Criterion8.72237
Schwarz (1978) Criterion6138.710228
Craven-Wahba (1979) Generalized Cross Validation5780.807803
Hannan-Quinn (1979) Criterion5922.18467
Rice (1984) Criterion5783.249596
Shibata (1981) Criterion5773.871775

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression23898747.2515581949373.625779
Residual146827004.6921655664.4157
Total1484725751.94372331930.756376505
F-TEST344.143814
p-value0




 
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Software written by Ed van Stee & Patrick Wessa


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