This is either due to a misunderstanding or to provide a plausible explanation for a scientific observation. You can use our API to get any type of SEO data you need.Very often, the correlation and cause & effect get mixed up. If you want to have a bigger perspective on the picture, you need to analyze tons of data. However, based on this, any web expert will tell you that this is in fact causality (you get positions because of the links).Īs you work more within the field you will able to asses and rate these popular situations. As you study different SEO factors, you will learn more about real relationships which will be important for making well-educated guesses.įor example, inexperienced person will think there is a correlation between large amount number of links and higher rankings. This difference must be taken into consideration for SEO analysis when trying to identify the causality between different factors.īefore you can judge certain events you need to view them from different perspectives. How can I use correlation and causation for SEO? To understand better the difference between correlation and causality ,watch this movie. This is of course not true as it is obvious that people need to cool off during summer. You have to be careful when observing a certain problem.įor example, this test may imply that people eat more food during summer. Same correlation can be found between Sunglasses and the Ice Cream Sales but again the cause for both is the outdoor temperature. However, we can’t say that ice cream sales cause hot weather (this would be a causation). Ĭausal relationship is something that can be used by any company.Īs you can easily see, warmer weather caused more sales and this means that there is a correlation between the two. Causality examplesįor example, there is a correlation between ice cream sales and the temperature, as you can see in the chart below. While correlation is a mutual connection between two or more things, causality is the action of causing something. It is very important to know that correlation does not mean causality. The first thing that happens is the cause and the second thing is the effect. The relation between something that happens and the thing that causes it. Correlation examplesįor example, if they are fully correlated this will imply that the value of first will increase (or decrease) in the same amount (percentage) as the value of second.Ĭorrelation doesn’t only work for site content and SEO but can also be used for statistics, acquiring scientific evidence, risk control, improving technology, health industry and when performing various studies. It is mainly used to group two variables and predict how the first will change when the second changes. However, it doesn’t tell us enough about values. This is one of the best ways to establish relationships between variables it is one of the good methods that helps us find a common link between seemingly unrelated items. -1 is a negative correlation defined as a relationship between two variables in which one variable increases as the other decreases, and vice versa.
Let’s see what each of the two terms mean : CorrelationĪ relation between “phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone”,according to Merriam-WebsterĬorrelation has a value between -1 and 1, where: However, many people tend to mix up these two relationship,often causing incorrect conclusions. This might seem a simple question to answer. To understand how exactly the Spearman Correlation Algorithm works you shall check the next Youtube video: This allows us to understand if 2 different factors are changing on the same time in the same direction, and to estimate the influence level they might have on each other. When running an SEO analysis for a high number of factors, the best approach to identify correlations between different factors is to user the correlation algorithm as Spearman, Kendall or Pearson. Correlation Reports: The Solution for Large SEO Analysis Let’s dive right in and describe the main differences between these two common terms. What is the difference between correlation and causality? What does science say?
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