Linked Questions

81
votes
0answers
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 ...
0
votes
1answer
851 views

Difference between F-test and T-test on OLS [duplicate]

I was running a regression with 1000 observations and 7 explanatory variables (with a constant term included as a "variable"). So, the population model initially stated was: $Y_{i} = \beta_{1} + \...
0
votes
1answer
821 views

Multiple Regression - Significant model but one variable does not significantly predict the behaviour. [duplicate]

Multiple Regression - Found a Significant model but one variable does not significantly predict the behaviour, how to explain this ? Also attaching correlation table.
1
vote
1answer
100 views

Interpretation of a regression where two variables predict a third variable individually but not when entered together [duplicate]

I have a situation where two variables when entered into a regression model independently, both predict a third variable, but when I entered both those variables into the model together, neither one ...
2
votes
1answer
49 views

When non-significant interaction effects make a significant main effect non-significant [duplicate]

Suppose that I have two IVs (AnxietyLevel & experimental conditions (dummy coded as 0 and 1), and two control variables (Age & Gender) and one DV (mean score on a questionnaire). And I am ...
0
votes
0answers
42 views

Significant lineal model (p value) but no significant parameters [duplicate]

I´m interested to know if it´s possible (and what it means) to obtain a significant linear model regression (p value=0.008) with coefficients fitted are not significant (p>0.05)?
1
vote
0answers
32 views

Dissertation Results. X and Y non-correlation, but then X significantly predictive in regression model. Why? [duplicate]

I just finished my dissertation results and trying to interpret them and very confused. Basically, X and Y are not correlated but then when I put X in my regression model with a few other variables X ...
0
votes
0answers
25 views

Can I conclude I have outliers when no coefficients are significant but f-test is significant? [duplicate]

Can I conclude I have outliers when no coefficients are significant but f-test is significant in the linear regression? ...
1
vote
0answers
19 views

Correlation with Spearman's but nothing on MLR [duplicate]

How is it possible that individually, Z correlates with X and Y (Spearman's) but when multivariate linear regression analysis is done X and Y cannot predict Z at all. Am I doing something wrong? This ...
0
votes
0answers
17 views

Interpreting Multiple Regression [duplicate]

I am working on my thesis and I had to do a multiple regression. I have only 45 samples and I checked that there were not problems of multicollinearity (VIF < 3) and the residuals are normally ...
1
vote
0answers
9 views

What does it indicate if a multiple regression model is significant but none of the individual predictors are significant? [duplicate]

I have a feeling that this is a stupid question, but googling around I haven't found an answer to it. Simply: What does it mean if a multiple regression model is significant but none of the ...
35
votes
3answers
37k views

Significance contradiction in linear regression: significant t-test for a coefficient vs non-significant overall F-statistic

I'm fitting a multiple linear regression model between 4 categorical variables (with 4 levels each) and a numerical output. My dataset has 43 observations. Regression gives me the following $p$-...
23
votes
6answers
13k views

Dealing with correlated regressors

In a multiple linear regression with highly correlated regressors, what is the best strategy to use? Is it a legitimate approach to add the product of all the correlated regressors?
15
votes
2answers
10k 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, ...
27
votes
2answers
4k views

Meaning of p-values in regression

When I perform a linear regression in some software packages (for example Mathematica), I get p-values associated with the individual parameters in the model. For, instance the results of a linear ...

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