query: In GLM, do we make an assumption on the distribution of Y or the distribution of Y | X?
positive_passages.docid: 141080
positive_passages.text: Family of GLM represents the distribution of the response variable or residuals?
negative_passages.docid: 9444
negative_passages.text: In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?
negative_passages.docid: 39978
negative_passages.text: Interpreting Residual and Null Deviance in GLM R
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 94319
negative_passages.text: Expected value of $|X - Y|$
negative_passages.docid: 135366
negative_passages.text: Why does the linear regression of "x on y" intersect with the linear regression of "y on x" at (x̄, ȳ)?
negative_passages.docid: 156490
negative_passages.text: Residual standard error difference between optim and glm
negative_passages.docid: 20153
negative_passages.text: What is the distribution of $R^2$ in linear regression under the null hypothesis? Why is its mode not at zero when $k>3$?
negative_passages.docid: 142818
negative_passages.text: X,Y are independent standard normal distributed then what is the distribution of $\frac{X}{X+Y}$
negative_passages.docid: 9881
negative_passages.text: Statistical inference when the sample "is" the population
negative_passages.docid: 128639
negative_passages.text: Homoskedasticity Assumption: Var(y|x)=Var(u|x)=constant?
negative_passages.docid: 109585
negative_passages.text: Why Normality assumption in linear regression
negative_passages.docid: 53446
negative_passages.text: Let $\ln X \sim \operatorname{Exp}(1)$ and $X,Y$ i.i.d. What is the distribution of $Z=XY$?
negative_passages.docid: 106753
negative_passages.text: Conditional expection of gamma distribution on sum
negative_passages.docid: 30082
negative_passages.text: Using regression to prove that X is a necessary / condition condition for Y
negative_passages.docid: 33543
negative_passages.text: is "y1 < x < y2" an inequality or inequalities?
negative_passages.docid: 89222
negative_passages.text: Cumming (2008) claims that distribution of p-values obtained in replications depends only on the original p-value. How can it be true?