# Questions tagged [multiple-regression]

Regression that includes two or more non-constant independent variables.

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### Ordinal regression, multinomial regression or linear regression with dummy variables?

I am conducting a study looking at the quality of clinical trials. I am trying to find out what factors are predictors of the methodological quality of the trials. My dependent variable is a score ...
• 21
1 vote
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### Binary logistic regression: p-value of predictor containing all cases of response=1

I'm analyzing a dataset with a set of binary predictors and a binary response variable using logistic regression. The response variable equals 1 only if some variable $x=1$, so there is a clear link ...
74 views

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### Which dependent variable is mostly impacted by predictor?

Usually one wants to identify the most important predictors (x1, x2, x3..., xn) in a regression model. My question is reversed: I have a data set that contains a risk factor risk and several outcomes ...
• 355
48 views

### Checking the linearity assumption in multiple regression

If I wanted to check the mentioned assumption, it is quite easy for only 1 predictor, but what if I have several? I read online that I can plot the residuals vs predicted and see there is no pattern, ...
1 vote
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### Is It okay to ignore Breusch Pagan Test?

My data han N=90 observation, I plot my data and I don't see any peculiar plot indicating heteroscedaticity, so I run BP and other test like Goldfeld-Quandt and Harrison-McCabe, but BP return ...
• 11
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### Testing binary outcomes with linear regression - R^2 false positives?

There are many reasons not to test binary outcomes with a linear regression (as opposed to a logistic regression). If one did though, is there any scenario in which the F-test for the coefficient of ...
• 1,283
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### Constants in Frisch-Waugh-Lovell / Partialling Out

If in general one wants to apply the Frisch-Waugh-Lovell "Partialling Out"-approach, should we include constants and in which of the following regressions? (1) In the first stage where we ...
61 views

### Interpreting main effects with dummy coded and continuous predictors in regression

I have a logistic regression predicting probability of a 'yes' response given 'condition' (A,B,C,D; dummy coded, with 'A' as the reference level). This will produce estimates for the following: ...
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