# IUB CJUS-K 300 - Pearson's Correlation (2 pages)

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## Pearson's Correlation

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## Pearson's Correlation

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Pearson's correlation (r)

Lecture number:
22
Pages:
2
Type:
Lecture Note
School:
Indiana University, Bloomington
Course:
Cjus-K 300 - Techniques of Data Analysis
Edition:
1
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Unformatted text preview:

CJUS K300 1nd Edition Lecture 22 Outline of Last Lecture I Bi Variate Regression Correlation contd Outline of Current Lecture II Pearson s Correlation Current Lecture Pearson s correlation measures the strength of the linear relationship between the dependent variable and the independent variable For samples we use r to denote pearson s correlation for populations we use p for pearson s correlation It is always between 1 and 1 1 means there is a perfect negative relationship 1 means that there is a perfect positive relationship 0 means that there is a perfect absence of any relationship Rule of thumb for Pearson s r 70 or higher Strong positive relationship 40 to 69 Moderate positive relationship 20 to 39 Weak positive relationship 01 to 19 No or negligible relationship 01 to 19 No or negligible relationship 20 to 39 Weak negative relationship 40 to 69 Moderate negative relationship 70 or higher Strong negative relationship Interpretation of Pearson s r will also be used for the interpretation of hypothesis testing We are alpha value confident that there is negative or positive 1 between the dependent variable and independent variable o Negative relationship or positive relationship o You must write out the specific dependent and independent variables when doing the problem These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute

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