I have sample a of 138 observations (cross sectional data) and running OLS regression with 6 independent variables.
My adjusted R2 is always coming negative even if I include only 1 independent variable in the model. All the beta coefficients as well as regression models are insignificant. The value of R2 is close to zero.
My queries are:
(a) Is negative adjusted R2 possible? If yes how should I justify it in my study and any references that can be quoted to support my results.
(b) Please suggest what should I do to improve my results? It is not possible to increase the sample size and have already checked my data for any inconsistencies.
Yes because of the additional adjusted part it is occasionally possible.. this is rare. See a good book on regression or Google your question for complete details. Best wishes, David Booth
BTW I forgot to mention that your data was not telling you anything about your DV. Back to the drawing board I would suggest. Sorry, David Booth
@Chhavi This query had been discussed before on RG. Here's the link https://www.researchgate.net/post/Interpretation_of_negative_Adjusted_R_squared_R22. Hopefully this thread would help your cause.
@Imran I have gone through this thread but couldn't find any reference that can be quoted in my study for supporting these results.
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