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4 votes

How small coefficient of variation should be accepted for dependent variable and how does it affect linear regression?

First, note that CV is only useful when all the values are positive. Second, note that you can dramatically change the CV by adding a constant. This does nothing to the regression (other than the ...
Peter Flom's user avatar
  • 120k
2 votes

Mixed effects clarification - Ecology

With six observations per site I'd think a random effect for siteID will do the better job here, although the other idea with variables that characterise the sites could also be considered. I'd ...
Christian Hennig's user avatar
2 votes

How does $y = ax + b + \epsilon$ induce a probability distribution on $R^2$?

You might want to adopt Bayesian notation to possibly make it more intuitive. Given a fixed set of parameters $\theta$ and your X coordinates, you identify a distribution. $ Y|X,\theta\sim \mathcal{N}(...
xcesc's user avatar
  • 65
1 vote

Unsure about assumptions of linear model with time series variables, spurious regression and periodic patterns

For your first and third question, why not try it and see? Here is a very crude shot at it with R; it would be easy to play with this: ...
Peter Flom's user avatar
  • 120k
1 vote
Accepted

Simple Regression Coefficient Formula for Categorical Variable?

Since Categorical Variables don't have things like Means This is solved if you dummy code the categories. Consider a binary variable, for clarity A or B. If I recode this variable so that 0 is A ...
Demetri Pananos's user avatar

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