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Three-years Recommendation for Future Research

2. Three-years

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 .420 a .176 .152 .12805 .176 7.279 1 34 .011 .572 b .327 .286 .11751 .150 7.370 1 33 .010 .623 c .388 .331 .11378 .061 3.203 1 32 .083 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 .119 1 .119 7.279 .011 a .557 34 .016 .677 35 .221 2 .111 8.006 .001 b .456 33 .014 .677 35 .263 3 .088 6.762 .001 c .414 32 .013 .677 35 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. Regression 3 years Coefficients a .141 .025 5.640 .000 .246 .091 .420 2.698 .011 .170 .025 6.718 .000 .291 .085 .496 3.406 .002 -.079 .029 -.395 -2.715 .010 .573 .226 2.531 .016 .310 .083 .528 3.716 .001 -.121 .037 -.602 -3.303 .002 -.014 .008 -.320 -1.790 .083 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 -.395 a -2.715 .010 -.427 .963 .054 a .343 .734 .060 .999 -.320 b -1.790 .083 -.302 .599 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. 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 .420 a .176 .152 .12805 .572 b .327 .286 .11751 .623 c .388 .331 .11378 2.238 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 .119 1 .119 7.279 .011 a .557 34 .016 .677 35 .221 2 .111 8.006 .001 b .456 33 .014 .677 35 .263 3 .088 6.762 .001 c .414 32 .013 .677 35 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 .141 .025 5.640 .000 .246 .091 .420 2.698 .011 .170 .025 6.718 .000 .291 .085 .496 3.406 .002 -.079 .029 -.395 -2.715 .010 .573 .226 2.531 .016 .310 .083 .528 3.716 .001 -.121 .037 -.602 -3.303 .002 -.014 .008 -.320 -1.790 .083 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. Regression 3 years Excluded Variables c -.395 a -2.715 .010 -.427 .963 .054 a .343 .734 .060 .999 -.320 b -1.790 .083 -.302 .599 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 -.0959 .4528 .1770 .08662 36 -.19328 .27346 .00000 .10879 36 -3.151 3.185 .000 1.000 36 -1.699 2.403 .000 .956 36 Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean Std. Deviation N 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. Coefficients a 1.000 1.000 .963 1.038 .963 1.038 .948 1.055 .577 1.734 .599 1.671 RD RD DEBR RD DEBR FSize Model 1 2 3 Tolerance VIF Collinearity Statistics Dependent Variable: OPM a. Excluded Variables c -.395 a 1.038 .963 .054 a 1.001 .999 -.320 b 1.671 .577 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. Coefficient Correlations a 1.000 .008 1.000 -.192 -.192 1.000 .007 .000 .000 .001 1.000 -.228 -.127 -.228 1.000 .633 -.127 .633 1.000 .007 -.001 -8.6E-005 -.001 .001 .000 -8.6E-005 .000 6.56E-005 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 1.525 1.000 .24 .24 .475 1.792 .76 .76 1.995 1.000 .11 .11 .11 .578 1.857 .00 .65 .53 .426 2.164 .89 .24 .36 2.781 1.000 .00 .05 .03 .00 .637 2.089 .00 .23 .27 .00 .578 2.193 .00 .71 .28 .00 .004 27.619 1.00 .01 .43 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. NPar Tests 3 years Regression 3 years One-Sample Kolmogorov-Smirnov Test 36 .0000000 .10879174 .114 .114 -.067 .685 .735 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. 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 .167 a .028 -.001 .06029 .294 b .086 .031 .05933 .406 c .165 .087 .05760 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 .004 1 .004 .977 .330 a .124 34 .004 .127 35 .011 2 .005 1.561 .225 b .116 33 .004 .127 35 .021 3 .007 2.105 .119 c .106 32 .003 .127 35 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 .095 .012 8.082 .000 -.042 .043 -.167 -.988 .330 .088 .013 6.862 .000 -.055 .043 -.214 -1.265 .215 .021 .015 .247 1.454 .155 .285 .115 2.488 .018 -.045 .042 -.178 -1.072 .292 .001 .019 .013 .061 .951 -.007 .004 -.362 -1.733 .093 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 .247 a 1.454 .155 .245 .963 -.370 a -2.325 .026 -.375 .999 -.362 b -1.733 .093 -.293 .599 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.

3. Five-Years

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