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What happens to the correlation when a high outlier is removed from a data set?
Wiki User
∙ 11y ago
The answer will depend on whether the outlier is determined on the basis of one variable or both variables.
Wiki User
∙ 11y ago
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When you removed from the data set how would the correlation coefficient be affected?
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
If you take off the outlier does it make the mean change?
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
How does the outlier effect the data?
Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.
What Anomalous data on a graph shows what?
An Outlier; an Outlier is when a point is not part of a trend (pattern)
How does a outlier look like in math terms?
An outlier looks like a piece of data that does not fit the pattern of most of the data. However just because some data point "looks like an outlier" does not necessarily mean that it is - standards for deciding whether something is an outlier or not varies a lot from course to course (and how accurate you want to be), so one person's outlier is another persons normal data.
When you removed from the data set how would the correlation coefficient be affected?
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
Is correlation resistant or nonresistant to outliers?
correlation is drawn from all data points. if you look at the r^2 value and it's below 0.99 for example (should be higher in non research work (and in much research work) it indicates that 1 of your points may be an outlier. If you input all datapoints into excel, you may be able to see the point that's throwing it off. There are also statistical tests you can do to spot an outlier. In other words, correlation is not independent of an outlier. it will make the r^2 value worse. If the outlier is taken out, then the correlation could be deemed independent but only because you manipulated it and had taken the outlier out
What is the outlier in this set of data 10064635862?
there is no outlier because there isn't a data set to go along with it. so theres no outlier
Given the following data 164 175 126 135 159 143 55 what effect will the outlier have on the median of the data if the outlier is excluded?
If the outlier is excluded the median of the data will be higher.
How do you get an outlier?
the most common cause of an outlier is an error in the recording of data.
What is the outlier in this data base 91232811?
A single observation cannot have an outlier.
What do you take if there is an outlier in data?
If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.
If you take off the outlier does it make the mean change?
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
Can you have more than one outlier in a set of data?
Yes, any data point outside thestandard deviation its an outlier
How does the outlier affect the mean of the data?
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
How does the outlier effect the data?
Outlier: an observation that is very different from the rest of the data.How does this affect the data: outliers affect data because it means that your calculations might be off which makes it a possibility that more than the outlier is off.
Can there be more than one outlier in a set of data?
Yes there can be more then one outlier
