# Tagged Questions

The residuals of a model are the actual values minus the predicted values. Many statistical models make assumptions about the error, which is estimated by the residuals.

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### Correlation between residuals of two different relations

I have two relations, A=f(B) and C=f(B). They both are different physical quantities depending on the same variable (let's say pressure=A density=B, temperature=C). I fit both relations to my data. ...
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### What to do when the predicted versus the residuals are clumped in a negative binomial model

I'm working on trying to find out which variables are most important in explaining the amount of research that one country does in another country. The response (the number of studies) is highly ...
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### Smaller residuals after transformation better?

This is a two part question concerning linear regression in R. Here is my code and what my residual plot looks like before transformation: ...
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### “Regress on” - PC1 driven standardization

I have 450 individual fish each with 25 highly correlated measurements (body length, fin size, jaw length, etc). My dataset is made up of a relatively normal distribution of sizes. What I am curious ...
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### Plot residuals from a known linear model in R

This question is similar to this one, where I would like to plot the residuals, except that my residuals are known, since I'm simply comparing simulated and observed values with an expected 1:1 linear ...
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### Residuals for zero bounded data

So, I'm running into an interesting problem with my residual plot. For reference, I'm trying to model a response variable "exploration" for a social network. Exploration is the number of people you ...
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### How to read this table? Mixed effect models [closed]

Hello community! I have been lost trying to interpret this table! Could someone please help me out?
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### Why predicted values differ among methods?

I am using the dataset Orthodont from nlme to simplify my example. ...
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### Residuals analysis: interpretation of a scatter plot

I have problems with the interpretation of a scatter plot in a multiple linear regression (OLS method). I have posted an image below of the scatter plot of the standardized residuals vs the predicted ...
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### Are RSS and R^2 related to training error only?

While reading An Introduction to Statistical Learning, I stumbled across the following (p. 210): [...] the model containing all of the predictors will always have the smallest $RSS$ and the ...
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### Self Study[HMM for time series, Zucchini, MacDonald]: Compute ordinary pseudo-residual of discrete r.v

I am reading chapter 6 of the book 'Hidden Markov Models for Time Series An Introduction Using R' and I am trying understand how to compute ordinary pseudo-residuals when the distribution is discrete [...
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### Why do normal-pseudo residuals measure the deviation from the median?

I have read this and I have stuck on page 4. It says that By definition [a normal pseudo-residual] is precisely $N(0,1)$ distributed and its value is zero if $Y$ is equal to the median of its ...
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### What is a good way to know if a variable adds value to an existing regression model without its components

Suppose someone gives you the fitted values to a regression model with $k$ terms, along with the fitted coefficients. If this is all you have, and you are investigating an additional "term" or set of ...
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### Does this residual plot indicate heteroscedasticity?

These are two versions of the same residual plot, just with a different scales, (I'm not sure which is easier to interpret so I included both). I don't need to know major details (for the assignment ...