Tagged Questions

56 views

Big coefficient difference between logit/probit and linear probability model

Setting: Large N, short T panel dataset. Very few 1's (probably 1 percent), most zeroes. I estimate a logistic regression and find a negative significant coefficient on the IV of interest. ...
119 views

Difference between effect size (partial $R^2$) and coefficients

I am working with spoken language data and use linear models do determine the relationship between different phonological processes in my data. Background Measures of the regularity of syllable ...
72 views

Conceptual explanation of regression coefficient?

I understand, mathematically, how to get the estimates of coefficients in ordinary least squares. What I am struggling with is coming up with a conceptual, geometric explanation for the correlation ...
43 views

Interpreting regression coefficents when the variables are in proportions

I have the following cross-sectional regression. per capita car ownership = 0.025*per capita college degrees + 0.012*availability of underground(dummy variable) - 0.287 I am having difficulty with ...
606 views

How to interpret a positive beta coefficient in linear regression?

Could someone provide a sample interpretation for the following: ...
83 views

learning R-understanding calculations for specific variable [closed]

Clarify why the prediction for a female in the example below in related topics (taken from a question by @MsSnowy) do we use the new calculations and not the original lm: ...
374 views

Recovering raw coefficients and variances from orthogonal polynomial regression

It seems that if I have a regression model such as $y_i \sim \beta_0 + \beta_1 x_i+\beta_2 x_i^2 +\beta_3 x_i^3$ I can either fit a raw polynomial and get unreliable results or fit an orthogonal ...