What is 'crossed weighted count' in SAP BI-RA-PA - SAP Predictive Analytics?

crossed weighted count - Overview

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Weighted number of occurrences of the category relative to the target if a weight variable has been defined.

crossed weighted count - Details

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  Key Concepts: 
  Crossed weighted count is a method used in SAP Predictive Analytics to measure the strength of relationships between two variables. It is a measure of the correlation between two variables, and is calculated by multiplying the number of observations in each category of the two variables and then dividing by the total number of observations. 
  
  How to use it: 
  Crossed weighted count can be used to identify relationships between two variables, such as customer segmentation or product sales. It can also be used to identify correlations between different types of data, such as customer demographics and product sales. 
  
  Tips & Tricks: 
  When using crossed weighted count, it is important to ensure that the data is accurate and up-to-date. Additionally, it is important to consider the context of the data when interpreting the results. 
  
  Related Information: 
  Crossed weighted count is related to other methods of measuring correlation, such as Pearson’s correlation coefficient and Spearman’s rank correlation coefficient. Additionally, it is related to other methods of measuring relationships between variables, such as chi-square tests and logistic regression.