lecture13

# lecture13 - Psych 100A Winter 2010 Lecture Lecture 13...

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Psych 100A Winter 2010 ecture 3: Correlation and Re ression Lecture 13: Correlation and Regression ntroduction Introduction • Linear Correlation egression • Regression Simple Linear Regression odel/Formulas Model/Formulas • Applications Real-life Applications Practice Problems • Internet Resources 1

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orrelation Correlation orrelation Correlation – A measure of association between two umerical variables numerical variables. Example (positive correlation) ypically in the summer as the – Typically, in the summer as the temperature increases people are irstier thirstier. 2
Specific Example Temperature Water Consumption For seven random summer (F) (ounces) 75 16 days, a person recorded the mperature nd 83 20 85 25 temperature and their water onsumption 85 27 2 2 consumption , during a three- our period spent 92 32 97 48 hour period spent outside. 99 48 3

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How would you describe the graph? 4
How “strong” is the linear relationship? 5

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Measuring the Relationship Pearson’s Sample orrelation Coefficient Correlation Coefficient, r measures the direction and the strength of the linear association between two numerical paired variables. 6
Direction of Association Positive Correlation Negative Correlation 7

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trength of Linear Association Strength of Linear Association r value Interpretation perfect positive linear 1 relationship 0 no linear relationship -1 perfect negative linear elationship relationship 8
trength of Linear Association Strength of Linear Association 9

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ther Strengths of Association Other Strengths of Association r value Interpretation 0.9 strong association 0.5 moderate association 0.25 weak association 10
ther Strengths of Association Other Strengths of Association 11

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Formula = the sum number of paired
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## This note was uploaded on 03/15/2010 for the course PSYCHOLOGY 100B taught by Professor Firstenberg,i. during the Winter '10 term at UCLA.

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lecture13 - Psych 100A Winter 2010 Lecture Lecture 13...

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