Invoice needs to research the causes of office stress. He need to examine the affiliation between age, size of employment, perceived social help, and job stress. He will get info on the variables from 100 female and male financial institution staff.
How properly can job stress be predicted primarily based on a linear combine of things (age, social help, and variety of years within the office)?
To handle the next questions, do a a number of regression evaluation.
1. Present the examine’s speculation.
The null speculation for the analysis is that there is no such thing as a correlation between the predictor variables (age, social help, and years within the employment) and work stress.
What’s the hyperlink between age, years of expertise, and social help and job stress?
Mannequin Synopsisb
Mannequin R R Sq. Modified R Sq. Typical Error of Estimation
a. Predictors: (Fixed), SocialSupp, NoofYRS, and Age b. Dependent Variable: STRESS
There’s a substantial and constructive linear correlation between age, years of expertise, and social help and job stress.
Is the regression significant? If sure, what does it signify?
ANOVAa Mannequin Sum of Squares df Imply Sq. F Sig.
2172.976 3 724.325 53.620 .000b s Residual 1296.814 96 13.508 s Complete 3469.790 99
a. Dependent Variable: STRESS
b. Predictor Variables: (Fixed), SocialSupp, NoofYRS, and Age
Primarily based on the Anova desk, the regression mannequin’s p-value is 0.000, which is lower than the importance threshold of 0.05, suggesting that the mannequin is statistically vital. This means that the diploma of job stress could also be anticipated by a person’s age, years of expertise, and social help.
What’s the equation of regression for all predictors?
Coefficientsa Mannequin Unstandardized Coefficients
Standardized Coefficients t Sig.
Age .718 .124 1.381 5.792 .000
NoofYRS -.380 .130 -.665 -2.925 .004 s SocialSupp -.047 .096 -.042 -.493 .623
a. Dependent Variable: STRESS For this investigation, the regression equation is: Stress=1.516 + 0.718 (age) – 0.38 (NoofYRS) – 0.047 (SocialSupp)
5. Primarily based in your evaluation, compose a findings part that addresses the analysis query.
A a number of regression evaluation was carried out to foretell work-related stress primarily based on age, years of expertise, and social help. F (3, 96) = 53.620, p .000, R2 =.626 proven that these elements statistically predict office stress. All three elements contributed statistically considerably to the prediction (p .05), except for social help (p >.0.5), which was negligible inside the mannequin.
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