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One-Year Recommendation for Future Research

Appendix 3. Statistical-Test Results

1. One-Year

Regression Variables EnteredRemoved b RD a . Enter DEBR a . Enter FSize a . Enter Model 1 2 3 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: OPM b. Model Summary .182 a .033 -.064 .10892 .033 .343 1 10 .571 .238 b .056 -.153 .11342 .023 .223 1 9 .648 .318 c .101 -.236 .11743 .045 .396 1 8 .547 Model 1 2 3 R R Square Adjusted R Square Std. Error of the Estimate R Square Change F Change df1 df2 Sig. F Change Change Statistics Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. ANOVA d .004 1 .004 .343 .571 a .119 10 .012 .123 11 .007 2 .003 .269 .770 b .116 9 .013 .123 11 .012 3 .004 .300 .825 c .110 8 .014 .123 11 Regression Residual Total Regression Residual Total Regression Residual Total Model 1 2 3 Sum of Squares df Mean Square F Sig. Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. Dependent Variable: OPM d. NPar Tests Coefficients a .193 .037 5.181 .000 .075 .127 .182 .585 .571 .183 .045 4.071 .003 -.015 .232 -.037 -.066 .949 .057 .120 .267 .472 .648 .497 .502 .990 .351 .121 .324 .296 .375 .717 -.030 .185 -.143 -.163 .875 -.011 .018 -.315 -.629 .547 Constant RD Constant RD DEBR Constant RD DEBR FSize Model 1 2 3 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: OPM a. Excluded Variables c .267 a .472 .648 .155 .327 -.255 a -.805 .442 -.259 1.000 -.315 b -.629 .547 -.217 .447 DEBR FSize FSize Model 1 2 Beta In t Sig. Partial Correlation Tolerance Collinearity Statistics Predictors in the Model: Constant, RD a. Predictors in the Model: Constant, RD, DEBR b. Dependent Variable: OPM c. One-Sample Kolmogorov-Smirnov Test 12 12 12 12 .2049 .1573 .4371 27.0000 .10562 .25782 .49922 3.01511 .164 .316 .281 .250 .164 .316 .281 .160 -.121 -.276 -.191 -.250 .570 1.093 .975 .866 .902 .183 .298 .441 N Mean Std. Deviation Normal Parameters a,b Absolute Positive Negative Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. 2-tailed OPM RD DEBR FSize Test distribution is Normal. a. Calculated from data. b. Regression Variables EnteredRemoved b RD a . Enter DEBR a . Enter FSize a . Enter Model 1 2 3 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: OPM b. Coefficients a 1.000 1.000 .327 3.059 .327 3.059 .180 5.561 .146 6.839 .447 2.236 RD RD DEBR RD DEBR FSize Model 1 2 3 Tolerance VIF Collinearity Statistics Dependent Variable: OPM a. Excluded Variables c .267 a 3.059 .327 -.255 a 1.000 1.000 -.315 b 2.236 .146 DEBR FSize FSize Model 1 2 Beta In VIF Minimum Tolerance Collinearity Statistics Predictors in the Model: Constant, RD a. Predictors in the Model: Constant, RD, DEBR b. Dependent Variable: OPM c. Regression Coefficient Correlations a 1.000 .016 1.000 -.820 -.820 1.000 .054 -.023 -.023 .014 1.000 -.906 -.671 -.906 1.000 .743 -.671 .743 1.000 .105 -.054 -.004 -.054 .034 .002 -.004 .002 .000 RD RD RD DEBR RD DEBR RD DEBR FSize RD DEBR FSize Correlations Covariances Correlations Covariances Correlations Covariances Model 1 2 3 RD DEBR FSize Dependent Variable: OPM a. Collinearity Diagnostics a 1.537 1.000 .23 .23 .463 1.823 .77 .77 2.400 1.000 .06 .03 .03 .493 2.206 .74 .13 .02 .107 4.737 .20 .84 .96 3.129 1.000 .00 .01 .01 .00 .752 2.040 .00 .06 .02 .00 .116 5.188 .00 .45 .38 .00 .002 36.577 1.00 .48 .60 1.00 Dimension 1 2 1 2 3 1 2 3 4 Model 1 2 3 Eigenvalue Condition Index Constant RD DEBR FSize Variance Proportions Dependent Variable: OPM a. Variables EnteredRemoved b RD a . Enter DEBR a . Enter FSize a . Enter Model 1 2 3 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: OPM b. Model Summary d .182 a .033 -.064 .10892 .238 b .056 -.153 .11342 .318 c .101 -.236 .11743 2.589 Model 1 2 3 R R Square Adjusted R Square Std. Error of the Estimate Durbin- Watson Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. Dependent Variable: OPM d. ANOVA d .004 1 .004 .343 .571 a .119 10 .012 .123 11 .007 2 .003 .269 .770 b .116 9 .013 .123 11 .012 3 .004 .300 .825 c .110 8 .014 .123 11 Regression Residual Total Regression Residual Total Regression Residual Total Model 1 2 3 Sum of Squares df Mean Square F Sig. Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. Dependent Variable: OPM d. Coefficients a .193 .037 5.181 .000 .075 .127 .182 .585 .571 .183 .045 4.071 .003 -.015 .232 -.037 -.066 .949 .057 .120 .267 .472 .648 .497 .502 .990 .351 .121 .324 .296 .375 .717 -.030 .185 -.143 -.163 .875 -.011 .018 -.315 -.629 .547 Constant RD Constant RD DEBR Constant RD DEBR FSize Model 1 2 3 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: OPM a. NPar Tests Excluded Variables c .267 a .472 .648 .155 .327 -.255 a -.805 .442 -.259 1.000 -.315 b -.629 .547 -.217 .447 DEBR FSize FSize Model 1 2 Beta In t Sig. Partial Correlation Tolerance Collinearity Statistics Predictors in the Model: Constant, RD a. Predictors in the Model: Constant, RD, DEBR b. Dependent Variable: OPM c. Residuals Statistics a .1609 .2645 .2049 .03357 12 -.13986 .22205 .00000 .10014 12 -1.310 1.774 .000 1.000 12 -1.191 1.891 .000 .853 12 Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N Dependent Variable: OPM a. One-Sample Kolmogorov-Smirnov Test 12 .0000000 .10014381 .159 .159 -.096 .551 .922 N Mean Std. Deviation Normal Parameters a,b Absolute Positive Negative Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. 2-tailed Unstandardiz ed Residual Test distribution is Normal. a. Calculated from data. b. Regression Variables EnteredRemoved b RD a . Enter DEBR a . Enter FSize a . Enter Model 1 2 3 Variables Entered Variables Removed Method All requested variables entered. a. Dependent Variable: ABS Unstandardized Residual b. Model Summary .202 a .041 -.055 .06535 .783 b .613 .527 .04374 .791 c .626 .485 .04564 Model 1 2 3 R R Square Adjusted R Square Std. Error of the Estimate Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. ANOVA d .002 1 .002 .426 .529 a .043 10 .004 .045 11 .027 2 .014 7.135 .014 b .017 9 .002 .045 11 .028 3 .009 4.457 .040 c .017 8 .002 .045 11 Regression Residual Total Regression Residual Total Regression Residual Total Model 1 2 3 Sum of Squares df Mean Square F Sig. Predictors: Constant, RD a. Predictors: Constant, RD, DEBR b. Predictors: Constant, RD, DEBR, FSize c. Dependent Variable: ABS Unstandardized Residual d. Coefficients a .082 .022 3.661 .004 -.050 .076 -.202 -.653 .529 .050 .017 2.910 .017 -.318 .089 -1.288 -3.552 .006 .169 .046 1.323 3.649 .005 -.050 .195 -.256 .804 -.361 .126 -1.464 -2.871 .021 .196 .072 1.540 2.723 .026 .004 .007 .167 .516 .620 Constant RD Constant RD DEBR Constant RD DEBR FSize Model 1 2 3 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig. Dependent Variable: ABS Unstandardized Residual a. Excluded Variables c 1.323 a 3.649 .005 .772 .327 -.488 a -1.723 .119 -.498 1.000 .167 b .516 .620 .179 .447 DEBR FSize FSize Model 1 2 Beta In t Sig. Partial Correlation Tolerance Collinearity Statistics Predictors in the Model: Constant, RD a. Predictors in the Model: Constant, RD, DEBR b. Dependent Variable: ABS Unstandardized Residual c.

2. Three-years

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