Bill wants to explore factors affecting work stress. He would like to examine the relationship between...

 

   

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Bill wants to explore factors affecting work stress. He would like to examine the relationship between age, number of years at the workplace, perceived social support, and work stress. He collects data on the variables from 100 employees (males and females) working in banks. Create a results section based on your analysis that answers the research question? The research question is: How accurately can work stress be predicted from linear combination of the predictors (age, social support, number of years at the workplace)? Model 1 Unstandardized Coefficients B Std. Error (Constant) 1.516 Age .718 NoofYRS -.380 SocialSupp -.047 a. Dependent Variable: STRESS Coefficients a 4.689 .124 .130 .096 Standardized Coefficients Betal 1.381 -.665 -.042 t 323 5.792 -2.925 -.493 Sig. .747 .000 .004 .623 Model 1 Model 1 Variables Entered/Removed Variables. Removed Variables. Entered Model 1 SocialSupp, NoofYRS, Age a. Dependent Variable: STRESS b. All requested variables entered. R .791 b Regression Residual Model Summary R Square .626 .615 a. Predictors: (Constant), Social Supp, NoofYRS, Age Sum of Squares Method. Enter Adjusted R Square 2172.976 1296.814 3469.790 ANOVA df 3 Std. Error of the Estimate 3.675 96 99 Mean Square 724.325 13.508 Total a. Dependent Variable: STRESS b. Predictors: (Constant), SocialSupp, NoofYRS, Age F 53.620 Sig. .000b Regression [DataSetl] C:\Users\piers\Downloads\Week10 SPSS1.sav STRESS Age NoofYRS SocialSupp Descriptive Statistics Mean Std. Deviation Pearson Correlation Sig. (1-tailed) N 25.11 42.34 15.34 20.91 5.920 11.376 10.356 5.195 STRESS Age NoofYRS SocialSupp STRESS Age NoofYRS SocialSupp STRESS Age NoofYRS SocialSupp .000 .000 .000 100 N Correlations STRESS 1.000 .769 .688 -.548 100 100 100 100 100 100 100 Age NoofYRS. SocialSupp .769 .688 1.000 .961 .961 1.000 -.669 -.627 .000 .000 .000 .000 .000 100 100 100 100 .000 100 100 100 100 -548 -.669 -.627 1.000 .000 .000 .000 100 100 100 100 Bill wants to explore factors affecting work stress. He would like to examine the relationship between age, number of years at the workplace, perceived social support, and work stress. He collects data on the variables from 100 employees (males and females) working in banks. Create a results section based on your analysis that answers the research question? The research question is: How accurately can work stress be predicted from linear combination of the predictors (age, social support, number of years at the workplace)? Model 1 Unstandardized Coefficients B Std. Error (Constant) 1.516 Age .718 NoofYRS -.380 SocialSupp -.047 a. Dependent Variable: STRESS Coefficients a 4.689 .124 .130 .096 Standardized Coefficients Betal 1.381 -.665 -.042 t 323 5.792 -2.925 -.493 Sig. .747 .000 .004 .623 Model 1 Model 1 Variables Entered/Removed Variables. Removed Variables. Entered Model 1 SocialSupp, NoofYRS, Age a. Dependent Variable: STRESS b. All requested variables entered. R .791 b Regression Residual Model Summary R Square .626 .615 a. Predictors: (Constant), Social Supp, NoofYRS, Age Sum of Squares Method. Enter Adjusted R Square 2172.976 1296.814 3469.790 ANOVA df 3 Std. Error of the Estimate 3.675 96 99 Mean Square 724.325 13.508 Total a. Dependent Variable: STRESS b. Predictors: (Constant), SocialSupp, NoofYRS, Age F 53.620 Sig. .000b Regression [DataSetl] C:\Users\piers\Downloads\Week10 SPSS1.sav STRESS Age NoofYRS SocialSupp Descriptive Statistics Mean Std. Deviation Pearson Correlation Sig. (1-tailed) N 25.11 42.34 15.34 20.91 5.920 11.376 10.356 5.195 STRESS Age NoofYRS SocialSupp STRESS Age NoofYRS SocialSupp STRESS Age NoofYRS SocialSupp .000 .000 .000 100 N Correlations STRESS 1.000 .769 .688 -.548 100 100 100 100 100 100 100 Age NoofYRS. SocialSupp .769 .688 1.000 .961 .961 1.000 -.669 -.627 .000 .000 .000 .000 .000 100 100 100 100 .000 100 100 100 100 -548 -.669 -.627 1.000 .000 .000 .000 100 100 100 100