Linked Questions

1
vote
0answers
2k views

Interpretation of qq plot and normality [duplicate]

I am doing some multivariate regression. When I plot QQnorms to check my model assumptions (errors normally distributed), I get Question: How do you interpret the above? Are the normality assumptions ...
3
votes
1answer
219 views

How can I visually determine the normality of interval data through a Q-Q Plot? [duplicate]

When dealing with interval data coming from questionnaires using Likert-Scales, I want to be able to determine the normality of the data in question. Some of the answers here on Cross Validated have ...
1
vote
0answers
268 views

What does this QQplot tell us? [duplicate]

For a multivariate data set, I test normality on the marginals, and I get plots like above. That's not my actual plot.... mine is not that obvious, the middle part is actually quite straight.... but ...
0
votes
0answers
54 views

How to verify assumptions of a normal distribution? [duplicate]

I'm working with the iris data.I made a density plot And a qq plot For sepal Length.It looks Approximately normal With the left skew And a flat peak The points In the qq Plot Stay within The ...
1
vote
0answers
37 views

Fail normality test but the qqplot is a straight line [duplicate]

I am using SAS 9.4 . My aim is to find out whether my residual is normal or not, so i type this: ...
175
votes
4answers
262k views

How to interpret a QQ plot

I am working with a small dataset (21 observations) and have the following normal QQ plot in R: Seeing that the plot does not support normality, what could I infer about the underlying distribution? ...
38
votes
9answers
5k views

What is the relationship between $Y$ and $X$ in this plot?

What is the relationship between $Y$ and $X$ in the following plot? In my view there is negative linear relationship, But because we have a lot of outliers, the relationship is very weak. Am I right? ...
10
votes
1answer
27k views

How to draw fitted graph and actual graph of gamma distribution in one plot?

Load the package needed. library(ggplot2) library(MASS) Generate 10,000 numbers fitted to gamma distribution. ...
5
votes
2answers
2k views

Formal definition of the qqline used in a Q-Q plot

I'm doing some distribution fitting work and I'm looking at Q-Q plots and how they can be used visually to interpret goodness of fit. My data is heavy-tailed so I am looking at Weibull, log-normal, ...
4
votes
2answers
656 views

Interpretation of QQ-plots

I've read what they mean on a technical level, but I'm trying to build intuition related to a specific problem. So I have some data, a set of measurements. It's pretty curvy, looking like a cross ...
0
votes
2answers
652 views

Using MLE to determine parameters for QQ plot

I just started playing around with a credit fraud dataset that I found online. I noticed that one of the variables looked something like this: Hey, that looks like a 3 parameter log-normal ...
2
votes
1answer
821 views

QQ Plot - drawn from a normal distribution?

I want to compare the distribution of the data from my model with normal distribution (since some previous works state that in comparison with normal dist. my data should have thicker tails). I ...
2
votes
1answer
237 views

Normal Probability Plot: oscillation around straight line: polynomial relationship?

This is the Normal Probability Plot I've obtained for some data: As you can see the points seem to osciallate, as in a period, around the line of slope 1 and passing through the origin. I've obtained ...
0
votes
2answers
378 views

Transform variables so residuals become normally distributed

I'm doing a project which involves multiple regression, and I'm aware (as far as I understand) that the residuals should be normally distributed with a constant variance. From my study, the residuals ...
2
votes
1answer
259 views

Is there skew/kurtosis on this plot?

I'm doing a stats assignment and for one of the questions I need to make a judgement of whether there is skew and kurtosis from a p-p plot in SPSS. I've been over the lecture, and we were told to look ...

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