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Correlation of data means that two different variables are linked in some way. This might be positive correlation, which means one goes up as the other goes up (for instance, people who are heavier tend to be taller) or negative correlation, which means one goes up as the other goes down (for instance, people who are older tend to play Video Games less often). Correlation just means a link. It means that knowing one variable (a person is really tall) is enough to make a guess at the other one (that person is probably also pretty heavy).

Note that there is a very common mistake people make about correlation, and this needs to be addressed. In short, the mistake is "correlation implies causation". It doesn't. If I have data which shows people who volunteer more often tend to be happier, I cannot then say "volunteer. It makes you happy!" because correlation doesn't imply causation - it might be that if you're happy you're more likely to volunteer, and the causation is the other way around. Or it might be that if you're rich, you're both more likely to be happy, and more likely to volunteer, so the data is affected by a different variable entirely.

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Explain how you can determine the type of correlation for a set of data pairs by examining the data in a table without drawing a scatter plot?

"If y tends to increase as x increases, then the data have a positive correlation. If y tends to decrease as x increases, then the data have a negative correlation. If the points show no correlation, then the data have approximately no correlation."


What are the various approaches for data exploration.Give Examples?

various approaches to data exploration are 1. perfect correlation 2. strong correlation 3. weak correlation


What is the type of correlation where there in no relationship between two data sets?

There is no correlation.


Can you do correlation on weighted data?

Yes.


What is a postitive correlation between data sets?

A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.


What is the data telling you with a positive or negative correlation?

If the data have a positive or negative correlation, it means the data have a linear relationship in the form of an equation of a line; or Y = mX + b.


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.


What is a correlation where both sets of data values increase or decrease together?

Positive correlation.Positive correlation.Positive correlation.Positive correlation.


A set of related data is called a?

correlation


What is the difference between correlation coefficient and chi square?

correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty


What does correlation mean in maths?

Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.


What does a correlation near 1 or -1 indicate?

The closer the correlation is to 1 or -1, the more linear the data is

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