regression - Why do we say the outcome variable "is regressed on" the ...
Apr 15, 2016 · The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x and y. So, this …
Explain the difference between multiple regression and multivariate ...
There ain’t no difference between multiple regression and multivariate regression in that, they both constitute a system with 2 or more independent variables and 1 or more dependent variables.
When conducting multiple regression, when should you center your ...
Jun 5, 2012 · In some literature, I have read that a regression with multiple explanatory variables, if in different units, needed to be standardized. (Standardizing consists in subtracting the mean and dividin...
When to use negative binomial and Poisson regression
Sep 2, 2024 · When would one use a negative binomial regression and when would one use Poisson regression with respect to the mean and variance?
Linear regression when independent variable are count data
Jan 23, 2024 · The Ys, on the other hand, are continuous and can assume any numerical value, either positive or negative. Initially, my approach was to apply linear regression to model this relationship. …
Simple linear regression output interpretation - Cross Validated
I have run a simple linear regression of the natural log of 2 variables to determine if they correlate. My output is this: R^2 = 0.0893 slope = 0.851 p < 0.001 I am confused. Looking at the $...
When to use gamma GLMs? - Cross Validated
The gamma distribution can take on a pretty wide range of shapes, and given the link between the mean and the variance through its two parameters, it seems suited to dealing with heteroskedasticity...
hypothesis testing - Significance contradiction in linear regression ...
Jun 9, 2016 · For instance, if you run a regression with 4 explanatory variables, the same issues exist. In a well-designed experiment, IV's can be orthogonal, but people routinely worry about using …
Why feature scaling does not affect prediction output in regression?
May 9, 2023 · 4 I was modelling a linear regression (OLS) and tried using scaling techniques on the predictor variables. I could see the range of the variables change, however the prediction results …
How to interpret coefficients of logistic regression using natural ...
Aug 14, 2024 · The problem is that while I can do this with standard logistic regression, I don't know how to do this for the case of logistic regression using (natural cubic) splines. An example: doing logistic …