# Tagged Questions

39 views

### Multiple linear regression question

I am running a multiple regression of the form Y = $\beta_0$ + $\beta_1$*$X_1$ + $\beta_2$*$X^2_1$ + $\beta_3$*$X_2$ + $\beta_4$*$X_3$ on a time-series dataset. I want to plot the relationship ...
32 views

### Coefficients and Standard Errors

We have a last assignment for my poli sci stat class and these two have really got me stumped. We really didn't go over multiple regression very well so if anybody can help, I appreciate it! Your ...
66 views

### How are partial regression slopes calculated in multiple regression?

I'm trying to understand how multiple regression statistically controls for the effects of other predictor variables when calculating partial regression slopes. In a multiple regression of Y~X1+X2, ...
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### Multinomial Logisitic Regression in Mlogit For Dummies - Building a Model and Extracting its Coefficients

I am trying to do a multinomial logistic regression on some data that I generated. I am using R and the package mlogit. My data looks like the following: ...
83 views

### Multiple regression or partial correlation?

I don't even know if this question makes sense, but what is the difference between multiple regression and partial correlation (apart from the obvious differences between correlation and regression, ...
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### How to calculate Beta and coefficient of determination ($R^2$) from unstandardized coefficients in OLS regression? [duplicate]

I have a table in which the multiple linear regression results is provided. If I have unstandardized coefficients and standard error for each independent variable, is it possible to calculate ...
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### How do we make a distinction between standardized and unstandardized coefficient? [duplicate]

In SPSS, regression analysis yields two types of coefficients (standardized and unstandardized). What is a standardized coefficient in statistical sense?
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### Restricted least squares regression in R [duplicate]

Now I need to apply a series of restrictions to an OLS multiple-regression model I am working on in R. I see that in SHAZAM (link: http://shazam.econ.ubc.ca/intro/restrict.htm) it is really easy to ...
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### Multiple regression with both positive and negative data

I have a problem regarding interpretation of a multiple regression. For $Y=a+bX_1+cX_2$, the influence of independent variable $X_1$ on $Y$, the dependent variable, is positive (coefficient $b$ is ...
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### How to correctly estimate statistical significance of regression coefficients?

Say that I want to determine the statistical difference between the coefficients derived from the FF three factor model of two portfolios (Spe and ...
280 views

### Analysing transformed data

Is it possible to carry out normal multiple linear regression when the dependent variable and one predictor variable have been transformed using square root transformation? (as they did not follow ...
32 views

### Compare the same risk factor across different regressions

Imagine you have 4 Y and 2 X variables, and run 4 regressions. You predict the change of a given symptom y1 from time 1 to time 2 by the two risk factors, x1 and x2. You then predict the change of ...
248 views

### Beta coefficients from stratified analysis when there are covariates?

Suppose I have a regression model shown below Model 1: $$Y = \beta_0^\ + \beta_1SEX\ + \beta_2ALCOHOL\ + \beta_3SEX*ALCOHOL\$$ The predictors I am interested in are SEX (binary: 0 female, 1 male) ...
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### What are the (best) methods for multiple comparisons correction with bootstrap for multiple glm models?

See the related, but old question: Correcting p values for multiple tests where tests are correlated (genetics). Multiple comparison methods based on bootstrap have the advantage of taking account of ...
631 views

### “Wrong Sign” On Regression Coefficients - Hierarchical Multiple Linear Regression

I am analyzing my data on the relationship between spirituality and negative emotional states (depression, anxiety, and stress) using a hierarchical multiple linear regression. Everything seemed to be ...
364 views

### Not standardizing outcome, standardizing predictors only

I do understand the advantages of standardizing regression predictors to get standardized coefficients, in order to interpret the coefficients better. However, as I was reading multiple pages online, ...
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### What can be concluded about coefficients?

I run multiple variable regression and got the following result. What can i conclude regarding the significance of coefficients? And why? Thanks ...
2k views

### Positive correlation and negative regressor coefficient sign

Is it possible to obtain a positive correlation between a regressor and a response (+0,43) and, after that, obtain a negative coefficient in the fitted regression ...
543 views

### Differences between Stata & SPSS in multiple regression outcomes

I'm a graduate student working on a thesis whose aim is to test complementarity between 2 practices (CI and INNO, according to theory of supermodularity). To do so, I calculated two new variables ...
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### Why don't the results of testing $H_0 : \beta = 0$ and $H_0 : {\rm cor}(X,Y)=0$ agree?

I have 4 IVs in my model that directly effect the DV. The results of the correlation & regression analyses showed that: IV1&DV: Pearson Correlation Coefficient: insignificant Regression ...
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### How to interpret an insignificant main effect that became significant at the presence of interaction effects in moderated regression analysis? [duplicate]

Possible Duplicate: What if interaction wipes out my direct effects in regression? I did hierarchical regression analysis on my data due to having interaction effects in my research model. ...
1k views

### Does the order of explanatory variables matter when calculating their regression coefficients?

At first I thought the order didn’t matter, but then I read about the gram-schmidt orthogonalization process for calculating multiple regression coefficients, and now I’m having second thoughts. ...
12k views

### Acceptable r-square value for multiple linear regression model

I'm currently working on my thesis, more specifically I'm analyzing some data collected from researchers about the project's they're working on. In the end, I have performed a multiple linear ...
3k views

### Interpreting coefficient in a linear regression model with categorical variables

I will give my examples with R calls. First a simple example of a linear regression with a dependent variable 'lifespan', and two continuous explanatory variables. ...