This correlation score comes in at a strong 0.293 score. Taking into consideration the complexity of the Google algorithm’s 200 ranking factors, having one factor come in at a correlation score which high indicates a level of correlation.

How can correlation scores work? 

Time to dive in! First, let’s take a look at the global perspective across all 27K questions:
We’re able to evaluate exactly how much that the Moz link indicator had grown to get a subset of the questions because we’ve used the same information on 16K of the 27K questions for 3 years running (this year’s research looked at 9K additional queries, however 16K of the queries were in common). Actually, let us begin with that data:
Our study utilized quadratic calculations on the Spearman correlations together with all 27K queries. Not sure what this means? You may learn more about the analysis methodology here.
From a link-building strategy standpoint, this gives support for the idea that getting links from more authoritative websites is you should concentrate that approach.

Let’s take a look at the correlation to Moz DA and Moz PA:
Last, let’s take a look at the way commercial and informational questions differ:
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Posted by EricEnge
From an interpretative perspective, that does not automatically signify they matter less. It can just mean that links are got by pages that are commercial, so Google must rely on other signs. But should those webpages happen to draw hyperlinks for some reason, the effect of the links may be high.

  • Total number of hyperlinks to the rank webpages
  • Moz DA of those hyperlinks into the ranking webpages
  • Moz PA of those hyperlinks into the rank pages

Core study results

Do Links Still Matter?

Summary


Correlation studies attempt to measure whether two variables are related in any manner to one individual. We use correlation studies to help us understand whether or not one factor possibly causes the other It is important to see that correlation does not prove causation; it only suggests that it does.

This is interesting because it does indicate the ability of the site, that at some level and the linking page both matter. Incidentally, in the four years that we’ve conducted this study, this is actually the initial period which the DA and PA scores have been a stronger indicator of ranking potential compared to pure connection count.
Is that there is a strong correlation between the use of ice cream and drowning. That doesn’t mean that one causes another. In fact, the variable here is intuitively obvious — weather that is sexy. People today consume more ice cream and people do more swimming when it is hot outside.

But, in the event of links, we also have the fact that we are told by Google that hyperlinks matter. If that is not enough for you, Google penalizes websites for suspicious practices that are link-building. This is not an area they would invest in unless links matter.
There runs A correlation score scale from -1 to 1. A rating of 1 signifies a great correlation between two things. If we have two variables (x and y), if x increases in value, so does y. The specific opposite is meant by A score of -1: if x increases in value, y decreases in value. A score of 0 means there is no perceivable relationship at all. Y is likely to increase or decrease in value when x increases value.

Now that is interesting — informational queries show a substantially greater level of correlation than industrial ones.

Both DA and PA show correlations; in fact, more so than the total number of links to the page that is rank.

The information shows a strong correlation between both links and positions. Google’s public statements and its activities (in executing penalties) also tell the same story. Simply speaking, links matter. But we observe a clear indication that the nature and the quality of those links matter also!
Search is a intricate environment. Google claims to use over 200 elements. Therefore, it’s quite unlikely that any 1 factor will be dominant. High scores are not very likely to take place at all and correlation scores of 0.2 or higher already start to imply (but not prove) the existence of a connection.

For the fourth year running, Stone Temple (now a part of Perficient Digital) conducted a study on how much links matter as a ranking factor.
That’s pretty significant growth! Congrats on that improvement to Moz.
Want more info? You can observe the Stone Temple link analysis here
Slicing these calculations

  • Informational vs. commercial queries
  • Medical vs. Financial vs. Technology vs. All Other queries

The Significant study elements included:

Brief comment on correlations