16k views

### How can you have a non-significant multiple regression model w/ significant predictors? [duplicate]

Possible Duplicate: Not-significant F but a significant coefficient in multiple linear regression How can a regression be significant yet all predictors be non-significant? Significance of ...
2k views

SAS code : ...
80 views

### 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 ...
22 views

### 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?
17 views

### 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 ...
16 views

### 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 ...
159k views

### What is your favorite “data analysis” cartoon?

This is one of my favorites: One entry per answer. (This is in the vein of the Stack Overflow question What’s your favorite “programmer” cartoon?.) P.S. Do not hotlink the cartoon without the site's ...
45k views

### Why is it possible to get significant F statistic (p<.001) but non-significant regressor t-tests?

In a multiple linear regression, why is it possible to have a highly significant F statistic (p<.001) but have very high p-values on all the regressor's t tests? In my model, there are 10 ...
15k views

### Simulation of logistic regression power analysis - designed experiments

This question is in response to an answer given by @Greg Snow in regards to a question I asked concerning power analysis with logistic regression and SAS ...
9k views

### Multiple linear regression for hypothesis testing

I am familiar with using multiple linear regressions to create models of various variables. However, I was curious if regression tests are ever used to do any sort of basic hypothesis testing. If so, ...
7k views

### multiple regression and multiple comparisons

Say I fit a multiple regression of p explanatory variables. The t-test will allow me to check if any single one of those is significant ($H_0: \beta_i = 0$). I can do a partial F-test to check if some ...
64k views

### 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 ...
9k views

### Not-significant F but a significant coefficient in multiple linear regression

I have a regression with two continuous predictors and one dichotomous predictor in Model 1 and two interactions of each of the continuous predictors with the dichotomous predictor in Model 2. The ...
4k views

### Categorical variables in multinomial logistic regression end up converted into binary variables

When I run multinomial logistic regression with some of the explanatory variables as categorical, my algo (glm) turns them in binary variables, automatically. For examples if one categorical variable ...
8k views

### 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 ...
2k views

### If the f-test is insignificant but coefficients are significant, can I use it?

If the linear regression's f-test is insignificant but its coefficients are significant in t-test, can I use this regression and its coefficients? In academic journals, I find people use linear ...
2k views

### 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 ...
89 views

### 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 ...