Inorganic Chemistry

Published: 2021-09-14 10:30:09
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INDIAN INSTITUTE OF MANAGEMENT ROHTAK/KOZHIKODE Model fit: if regression is possibleModel SummaryModelRR SquareAdjusted R SquareStd. Error of the Estimate1.634a.402.374.8372a. Predictors: (Constant), A9, A2, A7, A4, A3, A6, A1, A8, A5Interpretation:R-Square = % of variation in the dependent variable (DV) is explained by the independent variable (IV). Looking at the above table, one can say that 40.4% variation in the DV is explained by the IV. Thus DV and IV are correlated, so regression analysis is possible.  ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression89.66699.96314.214.000bResidual133.173190.701Total222.840199a. Dependent Variable: Vibrancyb. Predictors: (Constant), A9, A2, A7, A4, A3, A6, A1, A8, A5Interpretation:One can rely on ANOVA table for model fit summary. Comparing Sig. value and alpha (5%) (refer above ANOVA table), one can accept alternative hypothesis describes that DV and IV are associated. Thus regression is possible. CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta1(Constant)1.317.3933.349.001A1.155.072.1692.174.031A2-.024.051-.031-.480.632A3.152.063.1722.416.017A4-.041.048-.055-.866.388A5-.052.055-.076-.946.345A6.120.053.1582.256.025A7.152.065.1722.346.020A8.215.064.2473.372.001A9. Dependent Variable: Vibrancy

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