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Linear regression on price to sq. ft. comparison

*Unverified author*
R Software Module: esteq.wasp (opens new window with default values)
Title produced by software: Estimate Equation
Date of computation: Fri, 22 May 2009 00:44:12 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/22/t12429750037nbtgvk8zr394n0.htm/, Retrieved Fri, 22 May 2009 08:50:03 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/May/22/t12429750037nbtgvk8zr394n0.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
Portland John Ross Condos Housing Affordability
 
Dataseries X:
» Textbox « » Textfile « » CSV «
638 170000 631 172000 636 198850 640 199000 633 199950 781 201300 637 225000 639 234000 791 234900 639 249000 791 279000 793 279000 829 279900 773 284900 790 289900 920 299000 1061 329000 1205 339500 1205 349000 1207 379000 1207 389000 1207 389000 1205 399000 1205 399000 1207 419000 1207 429000 1207 429000 1210 479000 1210 479000 1207 479000 1207 479000 1207 579000 1873 599000 1827 647000 1826 649000 2133 649000 1468 675000 1928 699000 1831 709000 1831 729000 1833 769000 1894 819000 1938 819000
 
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
Sq.ft.[t] = +0.0022346258508251 Price[t] +237.35339830648 + e[t]

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
Price[t]0.0022350.00011519.38378600
Constant237.35339853.8061994.4112657.3E-53.6E-5
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%Price[t]0.8002970.041287-4.836941.9E-59.0E-6
%Constant0.1997030.045271-17.67791600
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-Price[t]0.9495340.04898619.38378600
S-Constant00010.5
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
Price[t]0.949534
Constant0.567325
Critical Values (alpha = 5%)
1-tail CV at 5%1.69
2-tail CV at 5%2.02

Multiple Linear Regression - Regression Statistics
Multiple R0.949534
R-squared0.901615
Adjusted R-squared0.899216
F-TEST375.731178
Observations43
Degrees of Freedom41
Multiple Linear Regression - Residual Statistics
Standard Error144.731669
Sum Squared Errors858837.499402
Log Likelihood-273.910257
Durbin-Watson1.693645
Von Neumann Ratio1.73397
# e[t] > 022
# e[t] < 021
# Runs12
Stand. Normal Runs Statistic-3.239495

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error21921.547064
Akaike (1973) Log Information Criterion9.995158
Akaike (1974) Information Criterion21920.074703
Schwarz (1978) Log Criterion10.077074
Schwarz (1978) Criterion23791.280655
Craven-Wahba (1979) Generalized Cross Validation21969.073453
Hannan-Quinn (1979) Criterion22592.343464
Rice (1984) Criterion22021.474344
Shibata (1981) Criterion21830.915344

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression17870537.1982737870537.198273
Residual41858837.49940220947.256083
Total428729374.697674207842.25470653
F-TEST375.731178
p-value0





 
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R code (references can be found in the software module):
 





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