MULTIPLE REGRESSION ANALYSIS Regresion Method Enter Variables Entered/Removed Variables Entered Variables Removed RISK PEU, PULPBC a Dependent Variable: INTENTION b. Al requested variables entered, Regression Analysis Model Summan Sid. Error of the Estimate Durbin-Watson 74316 1.692 R R Souare Adiusted R Square 791 625 621 a. Predictors: Constant), RISK. PEU, PU. PBC Dependent Variable: INTENTION Mean Square 90 869 184 532 000 Model Sum of Squares 1 Regression 363 475 Residual 218. 153 Total 581 627 199 Dependent Variable INTENTION Predictors (Constant), RISK PEU. PU. PEC Coefficients Unstandardized Standardize Coefficients Colinearity Statistics Coefficients B Beta Tolerance 2 Constant 217 PU 100 528 TA PE 053 PEC 235 04 232 - penden Van NDTION Based on the SPSS output given, answer the following questions. a) Develop a regression equation based on the results of the analysis. (2 marks) b) Briefly explain what you can conclude about the model that was tested. (2 marks) c) Test each of the following at the 5% significance level. i. There is a positive relationship between PC and INTENTION. ii. When PEU increases the INTENTION will also increase. mi There is a positive relationship between PBC and INTENTION, When RISK increases then INTENTION will reduce IV. 8 marks) d) Interpret the coefficient of determination 2 marks) e) Have all the assumptions of lite matysis heen met It not explain how they can be assessed. 3 marks 1) Write a short report on bow Syarikat telakon Mia Berhad an interpret the results, 3 marks MULTIPLE REGRESSION ANALYSIS Regresion Method Enter Variables Entered/Removed Variables Entered Variables Removed RISK PEU, PULPBC a Dependent Variable: INTENTION b. Al requested variables entered, Regression Analysis Model Summan Sid. Error of the Estimate Durbin-Watson 74316 1.692 R R Souare Adiusted R Square 791 625 621 a. Predictors: Constant), RISK. PEU, PU. PBC Dependent Variable: INTENTION Mean Square 90 869 184 532 000 Model Sum of Squares 1 Regression 363 475 Residual 218. 153 Total 581 627 199 Dependent Variable INTENTION Predictors (Constant), RISK PEU. PU. PEC Coefficients Unstandardized Standardize Coefficients Colinearity Statistics Coefficients B Beta Tolerance 2 Constant 217 PU 100 528 TA PE 053 PEC 235 04 232 - penden Van NDTION Based on the SPSS output given, answer the following questions. a) Develop a regression equation based on the results of the analysis. (2 marks) b) Briefly explain what you can conclude about the model that was tested. (2 marks) c) Test each of the following at the 5% significance level. i. There is a positive relationship between PC and INTENTION. ii. When PEU increases the INTENTION will also increase. mi There is a positive relationship between PBC and INTENTION, When RISK increases then INTENTION will reduce IV. 8 marks) d) Interpret the coefficient of determination 2 marks) e) Have all the assumptions of lite matysis heen met It not explain how they can be assessed. 3 marks 1) Write a short report on bow Syarikat telakon Mia Berhad an interpret the results, 3 marks