Category: Residual</td
-
and mitigation are still the three main areas in the activities of the China Sustainable Cities Program
—
by
in -1.0</td, -3.0</td, -4.0</td, .</p, </p, </td, </td, </td, </td, </td, </tr, </tr, </tr, </tr, </tr, </tr, <p, <p, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <tr, <tr, <tr, <tr, 15</td, 18.000<sup, 2</td, 25.511</td, 3</td, 30</td, 5</td, 5</td, 6.0</td, 6.0</td, 6.0</td, 6.0</td, 9.0</td, a</sup, Accrued liabilities:</td, Achievement of objectives</td, and response control is the key accompanying tool for environmental issues.</em, Chi-Square</td, Expected N</strong, Financial impact</td, H3o. Risk quantification technique is not an appropriate mathematical method in dealing with international project uncertainty</em, Impact on the ability to forecast the future</td, Likelihood of occurrence</td, Observed N</strong, Reputation impact</td, Residual</td, Test Statistics</em, The aspects that the organization measures its project risks through</em, The third hypothesis was developed to ascertain if risk quantification technique can be an appropriate mathematical method in dealing with international project uncertainties.</p, Total</tdand mitigation are still the three main areas in the activities of the China Sustainable Cities Program quantification
-
and mitigation are still the three main areas in the activities of the China Sustainable Cities Program
—
by
in -1.0</td, -3.0</td, -4.0</td, .</p, </p, </td, </td, </td, </td, </tr, </tr, </tr, </tr, </tr, </tr, <p, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <tr, 15</td, 18.000<sup, 2</td, 25.511</td, 3</td, 30</td, 5</td, 5</td, 5</td, 6.0</td, 6.0</td, 6.0</td, 6.0</td, 9.0</td, A:</strong, a</sup, Accrued liabilities:</td, Achievement of objectives</td, and response control is the key accompanying tool for environmental issues.</em, Chi-Square</td, Expected N</strong, Financial impact</td, H3o. Risk quantification technique is not an appropriate mathematical method in dealing with international project uncertainty</em, Impact on the ability to forecast the future</td, Likelihood of occurrence</td, Observed N</strong, Reputation impact</td, Residual</td, Test Statistics</em, The aspects that the organization measures its project risks through</em, The third hypothesis was developed to ascertain if risk quantification technique can be an appropriate mathematical method in dealing with international project uncertainties.</p, Total</tdand mitigation are still the three main areas in the activities of the China Sustainable Cities Program quantification
-
the Bivariate regression analysis revealed that the independent and dependent variables had a statistically significant relationship because Beta was.578
—
by
in .000(a)</td, .000</td, .058</td, .234</td, .256</td, .376</td, .396</td, .53505</td, .578</td, .619(a)</td, .656</td, (Constant)</td, </p, </p, </p, </td, </td, </td, </td, </td, </td, </td, </td, </td, </tr, </tr, </tr, </tr, </tr, </tr, </tr, <div class=""webkit-scrollbars webkit-scrollbars–table"", <div class=""webkit-scrollbars webkit-scrollbars–table"", <em, <p, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td, <td colspan=""2"", <td colspan=""2"", <tr, <ul, 1.378</td, 1</td, 1</td, 16.672</td, 16.672</td, 2, 2 </sup, 25.511</td, 42.183</td, 56.565</td, 6.897</td, 7.656</td, 94</td, 95</td, A Summary of Model.</em, Accrued liabilities:</td, Adjusted R Square</strong, ANOVA (b).</em, b</sup, B</td, B</td, Beta</td, Co-efficient (a).</em, Df</strong, F</strong, Mean Square</strong, Model</td, R Square</strong, R</strong, Regression</td, Residual</td, Sig.</strong, Sig.</td, Standardised Coefficients</strong, Std. Error of the Estimate</strong, Std. Error</td, Strategic Evaluation</h4, Sum of Squares</strong, t</td, Total</td, Unstandardised Coefficients</strong, was 0.396.</p, while R<sup, X3SE</tdthe Bivariate regression analysis revealed that the independent and dependent variables had a statistically significant relationship because Beta was.578 while the outsourcing performance was the dependent variable. According to the table below