Linked Questions
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Interpretation of results of a regression analysis
Here're the results of a multi-variable regression analysis run by Stata to test the effects of the three factors on the price elasticity of supply, which is the dependent variable. The coefficients ...
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Significant coefficients but non-significant likelihood ratio test [closed]
Following a comment on this thread, I have a question about interpreting a logistic regression model with significant coefficients, but non significant likelihood ratio test.
I have a super simple ...
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Why R is not significant (and very low), while all predictors are significant? [duplicate]
I used a network logistic regression to regress five predictors against a dependent. They are all significant, instead the R is not significant and it's even very low. I can understand that it may be ...
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How to explain significant correlation between independent and dependent variable but non significant regression test in the presence of mediation? [duplicate]
Possible Duplicate:
Not-significant F but a significant coefficient in multiple linear regression
In my research, I use Optimism as the IV, Job Satisfaction as the DV and Work-Family Enrichment ...
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How can a regression be significant yet all predictors be non-significant? [duplicate]
My multiple regression analysis model has a statistically significant F value however all beta values are statistically non-significant.
All the regression assumptions are met. No multicollinearity ...
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Non-significant group effect, but LSD post hoc is significant. Why? [closed]
I am performing repeated ANOVAs in SPSS and came across something I don't understand.
Basically, the main effect of group (I have three groups) is not significant (p = .062), but the LSD post hoc ...
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F test fails but t-test does not? [duplicate]
I'm a bit confused about this.
I have a model with multiple variables trying to explain the dependent variable.
When I use the F test, I don't pass the critical value.
But when I seperate the ...
Orbit
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If you know a factor is significant, what is a reason why R might think it's not? [duplicate]
I'm running a logistic regression model where anecdotally I expected age to be a very large factor. If you see from the charts I made in Excel before running the model through R, this is how the ...
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Could removing variables improve model prediction?
Coming from a machine learning background, I have long held the idea -throw in all variables and let regularization and cross validation fight against over-fitting.
The reason I am posting this ...
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Why is it possible to get insignificant F statistic (p>0.1) but significant regressor t-tests (p<0.1)? [duplicate]
My results show significant t-tests but an insignificant F-test. Is this possible or are my calculations wrong?
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SPSS Output - My Omnibus Test is insignificant, but I have significant predictors [duplicate]
I ran a binary-logistic regression in SPSS. Block 1 shows that the Omnibus Tests of Model Coefficients is insignificant for step, block and model, p =1.06. However, I have two significant predictors ...
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How to explain the phenomenon that each coefficient is significant in multiple regression but not significant as simple regression [duplicate]
We know that in linear regression, when each coefficient is not significant in multiple regression but significant as a simple regression, it is most likely the reason of ...
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Insignificant OLS results but significant IV regression results [duplicate]
I do a regression (Y is a dependent variable and X is an independent variable)
OLS gets insignificant results, while the IV regression gets significant results. I based on literature to suggest X is ...
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Can an F-Test be worse than the two single T-Tests? [duplicate]
Normally when conducting an F-Test one is hoping the F-Test of all variables is significant although the single T-Tests yield insignificant results.
But can the reverse also be true? That is a worse ...
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