Linked Questions

2
votes
0answers
525 views

Interpreting the residuals vs. fitted values plot [duplicate]

Residuals vs. Fitted Values plot Can someone tell me which OLS assumptions might be violated according to the figure and why? Moreover, what are the consequences for the point estimators and the ...
0
votes
0answers
66 views

What does this graphs mean in linear regression? [duplicate]

I don't know how to interpret these graphs. Is model well fitted? And how to analyze Cook's dist Vs Leverage plot? I would be very grateful for help. Linear regresssion model shows dependence ...
0
votes
0answers
51 views

Cannot understand this residuals plot in r [duplicate]

I am very new to r and statistics in general. I am trying to test for homogeneity of variance on a multiple linear regression model I have created, and as I understand this is done by checking ...
0
votes
0answers
27 views

How to interpret this Residuals vs. Fitted Plot [duplicate]

How to Check the non-constant variance using this ’residuals vs fitted values’ plot?
0
votes
0answers
15 views

Homoeodascity and Lineaity [duplicate]

Have my linearity and Homoscedasticity assumptions been met?
98
votes
1answer
80k views

Interpreting plot.lm()

I had a question about interpreting the graphs generated by plot(lm) in R. I was wondering if you guys could tell me how to interpret the scale-location and leverage-residual plots? Any comments ...
36
votes
2answers
55k views

Interpretation of plot (glm.model)

Can anyone tell me how to interpret the 'residuals vs fitted', 'normal q-q', 'scale-location', and 'residuals vs leverage' plots? I am fitting a binomial GLM, saving it and then plotting it.
20
votes
2answers
10k views

Is there i.i.d. assumption on logistic regression?

Is there i.i.d. assumption on the response variable of logistic regression? For example, suppose we have $1000$ data points. It seems the response $Y_i$ is coming from a Bernoulli distribution with $...
6
votes
4answers
16k views

Trying to understand the fitted vs residual plot? [duplicate]

A good residual vs fitted plot has three characteristics: The residuals "bounce randomly" around the 0 line. This suggests that the assumption that the relationship is linear is reasonable. The ...
8
votes
3answers
23k views

How to test for independence of residuals in linear model?

How to test for independence of residuals in linear model? What can I plot? What can I look for in the plots? Or are there some other statistics that I can compute?
-2
votes
1answer
3k views

What does this scatterplot mean? Uniform distributions? [closed]

I am very new to statistics and prob theory: I am looking at a scatter plot of two random variables, both uniformly distributed on $(0,1)$. The plot is approximatively a straight line, and the book ...
1
vote
1answer
4k views

What does the residuals vs fitted regression line express?

So what can I infer from this red regression line? What does it mean for the regression line to get positive residual values or negative residual values? I know e.g. that I can infer that the more ...
1
vote
2answers
2k views

Does this plot suggest violation of equal variance?

My model has 1 continuous outcome. Above is the residuals vs. fitted values plot. I know that if the equal variance assumption holds, then the residuals should be scattered evenly around 0 line with ...
1
vote
1answer
3k views

help for interpreting the residuals vs. fitted values plot

I have an ordinal variable (scale of stress) considered as continuous predictor in a multivariate linear regression. I would like to verify the assumption of linearity and this is my residuals vs. ...
4
votes
1answer
2k views

Interpreting linear regression residual plots using R

I'm investigating whether there is a relationship between the day of the week and an outcome value using linear regression in R, and would like to understand how to ...

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