Linked Questions

1 vote
1 answer
2k views

Normality test and Outlier detection [duplicate]

In this question, I would like to ask two things: outlier detection normality test Details are as follows: I need to detect and remove outliers in my data. Before doing that, I want to test if my ...
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40 votes
8 answers
43k views

Is it OK to remove outliers from data?

I looked for a way to remove outliers from a dataset and I found this question. In some of the comments and answers to this question, however, people mentioned that it is bad practice to remove ...
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  • 521
15 votes
5 answers
31k views

Is there a simple way of detecting outliers?

I am wondering if there is a simple way of detecting outliers. For one of my projects, which was basically a correlation between the number of times respondents participate in physical activity in a ...
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  • 1,045
11 votes
6 answers
8k views

Identifying outliers for non linear regression

I am doing research on the field of functional response of mites. I would like to do a regression to estimate the parameters (attack rate and handling time) of the Rogers type II function. I have a ...
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  • 111
4 votes
1 answer
10k views

Adjusted $R^2$ & F test are not shown in regression with robust standard errors in Stata

The adjusted $R^2$ is not shown when a regression with robust standard errors is calculated in Stata. This is surprising to me since the value of the $R^2$ is unaffected in regressions with robust ...
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5 votes
1 answer
7k views

Test for bivariate outliers

I have been given a set of data points $(x_i,y_i)$. I have to plot a scatter plot and determine if there are any outliers. But I haven't been taught a method to measure which data point is an outlier ...
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  • 237
12 votes
1 answer
2k views

How to find the sample points that have statistically meaningful large outlier ratios between two values of the point?

As an example application, consider following two properties of Stack Overflow users: reputation and profile view counts. It is expected that for most users those two values will be proportional: high ...
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1 vote
2 answers
914 views

Model has a Great Fit, Significant Variables but Residuals are Not Normally Distributed. How should we proceed?

I have a data on some overall conversion rates (i.e. out of x users visiting, y buy something hence y/x is my conversion rate, essentially proportions) over a time period, now this overall proportion ...
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  • 141
0 votes
2 answers
341 views

how can I handle the influence of one country's observations on overall regression results?

Currently I am working on one paper. I have 280 observations and 8 countries in my data set. I have run OLS regression model and all the results seem good. However, I am not convinced by the result of ...
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0 votes
0 answers
138 views

When removing outlier is right? Removing techniques for outliers in R [duplicate]

I was searching outlier removal in R and I saw some comments related to almost never you should remove outlier from dataset. I wonder when we should remove outlier? I have a dataset consisting ...
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  • 61
3 votes
0 answers
112 views

How to deal with kurtotic interaction variable?

I'm going to do a multiple regression analysis with two continuous IVs and their interaction. I've centered the IVs and then multiplied one with another for interaction. My problem is that the ...
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