Correlation analysis

With the help of correlation analysis, the linear relationship between variables can be examined. The strength of the correlation is determined by the correlation coefficient, which varies from -1 to +1. This means that correlation analyses can be used to make a statement about the strength and direction of the relationship between two variables.

Interpret correlation
Positive correlation
A positive correlation exists when larger values of variable A are accompanied by larger values of variable B. Body size and shoe size, for example, correlate positively, resulting in a correlation coefficient that lies between 0 and 1, i.e. a positive value.

Negative correlation
A negative correlation exists when larger values of variable A are accompanied by smaller values of variable B. The product price and the sales volume usually have a negative correlation; the more expensive a product is, the lower the sales volume. In this case, the correlation coefficient lies between -1 and 0, i.e. it takes on a negative value.

More information on correlation analysis:

And here is the online correlation calculator:

[raosam]

WOW. Data tab site is so, so awesome. I am learning statistics now, and these videos are super useful. Just let them keep coming !!!!

[umigram]

This is a really great site. Thank you for taking the time to put this together and sharing with us.

[ronplays]

excellent explanation. Thank you so much

[architasen]

Is it the Pearson correlation or the Spearman correlation that is used for variables with an ordinal scale level?

[TianBa]

Subtitles are only available in Hindi, we hope to provide them in other languages, such as English or Chinese

[righttolearnrighttolearn]

Mam can you arrange test for a correlation chapter..as soon as possible...

[sabaaslam]

Is it necessary to have the same number of observations for every variable to find the correlation?