# Statistics

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Annex A Basic Analysis | | Reciprocating | Scroll | All | Average Price | Europe | \$ 31,31 | \$ 38,60 | \$ 32,28 | | Latin | \$ 38,71 | Does not exist | \$ 38,71 | | North | \$ 32,43 | \$ 34,69 | \$ 33,11 | | Total | \$ 33,73 | \$ 35,67 | \$ 34,08 | Average Volume | Europe | 111.307,69 | 88.000,00 | 108.200,00 | | Latin | 67.000,00 | Does not exist | 67.000,00 | | North | 121.142,86 | 174.500,00 | 137.150,00 | | Total | 103.054,05 | 152.875,00 | 111.911,11 | Average BTU | Europe | 410,00 | 850,00 | 468,67 | | Latin |…show more content…
Annex D2 Residual plots of the first model Annex E1 Regression analysis, second model Except EER Regression Analysis: Price/ Unit versus Capacity BTU/Hr; lnVolume; ... * Europe is highly correlated with other X variables * Europe has been removed from the equation. * Scroll is highly correlated with other X variables * Scroll has been removed from the equation. The regression equation is Price/ Unit = 44,7 + 0,00530 Capacity BTU/Hr - 1,19 lnVolume + 6,12 Latin - 0,237 North - 1,68 Reciprocating Predictor Coef SE Coef T P VIF Constant 44,698 6,196 7,21 0,000 Capacity BTU/Hr 0,005298 0,002134 2,48 0,017 1,771 lnVolume -1,1921 0,5151 -2,31 0,026 1,056 Latin 6,119 1,119 5,47 0,000 1,384 North -0,2375 0,9495 -0,25 0,804 1,424 Reciprocating -1,681 1,371 -1,23 0,228 1,758 S = 2,65254 R-Sq = 61,9% R-Sq(adj) = 57,0% Analysis of Variance Source DF SS MS F P Regression 5 446,245 89,249 12,68 0,000 Residual Error 39 274,403 7,036 Total 44 720,649 Source DF Seq SS Capacity BTU/Hr 1 75,380