Sewwandi Rathnayaka
5 years & 1 week ago

Please advice me, how to interpret below mentioned my results of Regression Analysis ??

Model (Variable) Unstandardized Coefficients Standardized Coefficients

B Std. Error Beta t Sig.
(Constant) 0.755 0.173 4.373 0.000
Workload and Workplace Related Stress -0.04 0.202 -0.035 -0.171 0.865
Organization Related Stress -0.12 0.119 -0.214 -0.975 0.338
Working Time Related Stress 0.139 0.127 0.220 1.095 0.283

Model Summary

R R Square Adjusted R Square Std. The error of the Estimate F Sig.

0.246 0.06 -0.04 0.39117 0.60 0.62

Bernard
5 years & 1 month ago

Hello,

I find this article very insightful and helpful but I would want to find out what kind of adjustments can be made should your data produce R-values and R-square values less than the standard limit.
Thanks

Riya Jain
5 years & 1 month ago

Hi Bernard
For that you need to reduce the linkage between dependent and independent variables by having more variation like if dependent variable has value 5 (strongly agree) then independent variable could have value 1 or 2 (strongly disagree or disagree). You can also refer to our article for more information on data processing (https://www.projectguru.in/how-to-process-the-primary-dataset-for-a-regression-analysis/)

Reply

Noor Dani
5 years & 3 months ago

Dear Riya and Priya,

I have been searching high n low for F-Ratio interpretation. Now I know a value greater than 1 for the F- ratio yield efficient model. Thank you so much.

Stephen Ochieng
5 years & 8 months ago

Hello Riya Jain at Project Guru,
I am Stephen Ochieng an Agricultural EEconomist currently an intern at Oserian development Company limited in Naivasha Kenya.
As a data analysis and economocs enthusiast,I find our article very helpful and immensely do appreciate.
Looking forward to more of this types of clearly written easy to grasp insightful articles that will help me grow as a data scientist and a major stakeholder in Artificial intelligence in Africa.
Regards,