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Correlation and Regression

This guide focuses on the essential aspects of correlation and regression analysis relevant to scholarship evaluation. It outlines how to describe graphs effectively by discussing positive and negative associations, identifying linear or non-linear relationships, and assessing the strength of correlation. Additionally, it emphasizes the importance of recognizing aberrations, such as outliers and gaps, while contextualizing the range of data presented. This systematic approach equips scholars with the tools to articulate their findings clearly and accurately.

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Correlation and Regression

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  1. Correlation and Regression for Scholarship

  2. 2010 Question 5

  3. Points when describing a graph: • +ve / -ve association • Linear/non-linear • Correlation strength • Aberrations eg outliers, gaps • Verbalise the range ALL to be done in CONTEXT

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