correlation

What is Correlation?A statistical tool that helps in the study of the relationship between two variables is known as Correlation. It also helps in understanding the economic behaviour of the variables. However, correlation does not tell anything about the cause-and-effect relationship between the two variables. Correlation can be measured through three different methods; viz., Scatter Diagram, Karl Pearson’s Coefficient of Correlation, and Spearman’s Rank Correlation Coefficient. According to L.R. Connor, “If two or more…

A statistical tool that helps in the study of the relationship between two variables is known as Correlation. It also helps in understanding the economic behaviour of the variables. However, correlation does not tell anything about the cause-and-effect relationship between the two variables. Correlation can be measured through three different methods; viz., Scatter Diagram, Karl Pearson’s Coefficient of Correlation, and Spearman’s Rank Correlation Coefficient. According to L.R. Connor, “If two or more quantities vary in…

A statistical tool that helps in the study of the relationship between two variables is known as Correlation. It also helps in understanding the economic behaviour of the variables. However, correlation does not tell anything about the cause-and-effect relationship between the two variables. Correlation can be measured through three different methods; viz., Scatter Diagram, Karl Pearson’s Coefficient of Correlation, and Spearman’s Rank Correlation Coefficient. According to L.R. Connor, “If two or more quantities vary in…

The previous statistical approaches (such as central tendency and dispersion) are limited to analyzing a single variable or statistical analysis. This type of statistical analysis in which one variable is involved is known as univariate distribution. However, there are instances in real-world situations where distributions have two variables like data related to income and expenditure, prices and demand, height and weight, etc. The distribution with two variables is referred to as bivariate distribution. It is necessary…

Physicists have experimentally demonstrated for the first time that there is a negative correlation between the two spins of an entangled pair of electrons from a superconductor. Credit: Department of Physics, University of Basel, ScixelFor the first time, physicists have experimentally demonstrated that there is a negative correlation between the two spins of an entangled pair of electrons from a superconductor. For their study, the researchers used spin filters made of nanomagnets and quantum dots.Some phenomena in…

We’ve all heard the phrase, “correlation does not imply causation”, but no one ever talks about what causation really is. Fundamental physics has an answer for us, and it might surprise you: It all comes back to correlation.While rain and umbrellas are correlated, just everyone would agree that umbrellas don’t cause rain (Photo by Alex Block on Unsplash)It’s a rainy day in the city, and everyone has their umbrellas out. Did the rain cause people to open up their umbrellas? Or did people opening up their umbrellas cause it…

Everything you need to know about Casual InferencePhoto by Clay Banks on UnsplashCorrelation refers to the relationship between two statistical variables. The two variables are then dependent on each other and change together. A positive correlation of two variables, therefore, means that an increase in A also leads to an increase in B. The association is undirected. It is therefore also true in the reverse case and an increase in variable B also changes the slope of A to the same extent.Causation, on the other hand,…

The Categorical Prediction CoefficientPhoto by Joan Gamell on Unsplash(All images unless otherwise noted are by the author.)IntroductionThe most common reason for wanting to know the correlation between variables is to develop predictive models. The higher the correlation of an input variable with the outcome variable, the better predictor variable it will be. But checking the correlations between input variables is also important. It’s necessary to remove multicollinearity from the model, which can degrade the legitimacy…

Limitation of pandas corr() and how to combat itPhoto by Chris Liverani on UnsplashCorrelation is defined as the association between two random variables. In statistics it normally refers to the degree a pair of variables are linearly related.Aside: A mandatory warning that must be mentioned when talking about correlation is “Correlation does not imply causation”. Check out this article for more about this.You would often find yourself using correlation during exploratory data analysis. In a supervised setting, it could…

Learn how a correlation matrix is createdIt seems like a scatter plot, doesn’t it? More on this later. Photo by rovenimages.com:In the last articles of this mini-series on statistical indices (which was initially designed based on my experience as a teacher at Datamasters.it) we already studied variance, standard deviation, covariance e correlation. In this article, we’ll focus on a data structure outlined in the last article that, when I started studying Machine Learning literally blew up my brain, and not because it’s a…