The criteria for the evaluation of web pages and to produce this ranking are generally referred to as ranking factors. This evaluation is used to structure pages in the search engine index, which ultimately results in user queries displaying the best possible ranking of the results display. Search engines work by using algorithms to evaluate websites by topic and relevance. Search Engine Algorithms And Ranking Factors Of Google & Co. The correlation value would remain identical at 0, but the interpretation of the factor would be completely different. For factor A, however, the average value is 95 (y-axis) for each position (x-axis), but could even be at 5 (y-axis). For example, factors B and C from the above graph have the same correlation value (that is: 1), but are completely different regarding their respective curves. To interpret the factors, average values are always used. Simply put, the larger the differences from position 1 to 30, the higher the correlation value. Values in a negative range are best understood with the opposite statement positively interpreted. The higher the value of a correlation, the greater, and more regular, the differences between positions.
Factors with the value “zero”, according to our analysis, point to no measurable correlation between good and bad Google results. The y-axis indicates the average value for all 10,000 URLs studied at position X (x-axis). Factor D: Positive Correlation – irregular curve, fallingĮxplanation: Correlation Calculation And Interpretation Approaches.Factor C: Negative Correlation (lowest) – linear curve, rising.Factor B: Positive Correlation (highest) – exponential function, falling.Factor A: Zero Correlation – linear curve, horizontal / high average.
In the graph, four example correlations and the respective curves are shown.
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