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LLS Page 		Filip
Dataset
Certified Values

Dataset
Name:
Filip

Procedure: Linear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
82 Observations
Higher Level of Difficulty
Observed Data
Model: y = beta(0) + beta(1)x + beta(2)x^2 +...+ beta(9)x^9 + beta(10)x^10 + e


Certified Regression Statistics

Parameter
           Estimate		     Standard Deviation
           of Estimate
      beta(0)      -1467.48961422980      298.084530995537
      beta(1)      -2772.17959193342      559.779865474950
      beta(2)      -2316.37108160893      466.477572127796
      beta(3)      -1127.97394098372      227.204274477751
      beta(4)      -354.478233703349      71.6478660875927
      beta(5)      -75.1242017393757      15.2897178747400
      beta(6)      -10.8753180355343      2.23691159816033
      beta(7)      -1.06221498588947      0.221624321934227
      beta(8)      -0.670191154593408E-01      0.142363763154724E-01
      beta(9)      -0.246781078275479E-02      0.535617408889821E-03
      beta(10)      -0.402962525080404E-04      0.896632837373868E-05

Residual
Standard Deviation		      0.334801051324544E-02
R-Squared      0.996727416185620

Certified Analysis of Variance Table

Source of
Variation		 Degrees of
Freedom		 Sums of
Squares		 Mean
Squares		 F Statistic
Regression 10 0.242391619837339 0.242391619837339E-01 2162.43954511489
Residual 71 0.795851382172941E-03 0.112091743968020E-04