pls solve this questions
a) Which items load onto which factors? Can you name them based on the items that load onto them? (150 words) Rotated Factor Matrix Factor Items 1 2 3 4 5 The appearance of the physical facility 695 -.054 153 119 193 Communication material 823 -.012 .096 045 -.002 Ability to perform the promised services 052 193 .718 210 -.023 Willingness to help customers 270 -.013 .052 232 .586 Knowledge and courtesy of employees 018 769 -.046 .187 .005 Ability to convey trust and confidence -.028 .678 .035 .024 090 Caring .172 .160 .215 .604 .155 Ability to accurately accomplish .174 009 .640 .107 .127 Provide prompt services .170 -.210 .188 -.044 .720 Individual attention to customer 249 093 .200 .638 .298 Extraction Method: Principal Axis Factoring Rotation Method: Varimax with Kaiser Normalization. b) You are required to interpret the given output. (100 words) Discriminant validity Variables Cronbach 's Alpha CSR Trust Organizational Employee performance wellbeing CSR 0.891 0.779 Trust 0.809 0.705 0.749 Organizational performance 0.836 0.810 0.683 0.778 Employee wellbeing 0.952 0.645 0.560 0.598 0.823104. FOREIGN_DIRECTORS 149.4722 13.70889 10.90330 0.0000 a) Write the estimated regression equation from the coefficient output and interpret the FEMALE_DIRECTORS 17.75043 33.50407 0.529799 0.5990 results. (150 words) C 3.114584 11.32865 0.274930 0.7847 Regression Output Effects Specification S.D Rho Unstandardized Standardized Coefficients Coefficients Cross-section random 30.12334 0.6130 Model B Std. Error Beta Sig Idiosyncratic random 23.93641 0.3870 Constant) 085 .089 954 .341 Weighted Statistics Environment .354 041 342 8.613 .000 Brand Diversity 024 .049 -.020 -.481 .631 R-squared 0.749393 Mean dependent var 12.83031 Entertainment 401 044 368 9.079 .000 Adjusted R-squared 0.737459 S.D. dependent var 47.65187 24.41623 Sum squared resid 25038.40 Location 291 043 272 6.832 .000 S.E. of regression F-statistic 62.79640 Durbin-Watson stat 1.869314 Dependent Variable: Consumer Loyalty Prob(F-statistic) 0.000000 b) Based on the following output tables, write all the panel data regression models. Which is a better model, FEM or REM? Justify your answer. (200 words) Table C: Table A: Correlated Random Effects - Hausman Test Dependent Variable: PAYOUT_RATIO Method: Panel Least Squares Test cross-section random effects Variable Coefficient Std. Error t-Statistic Prob Test Summary Chi-Sq. Statistic Chi-Sq. d.f. Prob FOREIGN_DIRECTORS 158.8968 14.70223 10.80766 0.0000 Cross-section random 3.700706 2 0.1572 FEMALE DIRECTORS 4.463537 36.09961 -0.123645 0.9023 C 3.143324 5.364327 0.585968 0.5618 Effects Specification Cross-section fixed (dummy variables) R-squared 0.876583 Mean dependent var $8.31686 Adjusted R-squared 0.840284 S.D. dependent var 59.89422 S.E. of regression 23.93641 Akaike info criterion 9.397265 Sum squared resid 19480.36 Schwarz criterion 838894 Log-likelihood -200.4385 Hannan-Quinn criter. 9.561900 F-statistic 24.14892 Durbin-Watson stat 2.351257 Prob(F-statistic) 0.000000 Table B: Dependent Variable: PAYOUT_RATIO Method: Panel EGLS (Cross-section random effects) Variable Coefficient Std. Error t-Statistic Prob
