1 Chapter 10 Linear regression and correlation Relationship between variables.
Correlation. Correlation Is a statistical procedure that estimates the linear relationship between...
-
Upload
derick-cross -
Category
Documents
-
view
218 -
download
1
Transcript of Correlation. Correlation Is a statistical procedure that estimates the linear relationship between...
![Page 1: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/1.jpg)
CorrelationCorrelation
![Page 2: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/2.jpg)
CorrelationCorrelation
Is a statistical procedure that estimates the Is a statistical procedure that estimates the linear relationship between two or more linear relationship between two or more variablesvariables
![Page 3: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/3.jpg)
The value of r The value of r (matey?)(matey?)
Correlation = rCorrelation = r The value of r can range from -1 to 1The value of r can range from -1 to 1 If r = 0,then there is no correlation between the two If r = 0,then there is no correlation between the two
variablesvariables If r = 1 (or -1), then there is a perfect positive (or perfect If r = 1 (or -1), then there is a perfect positive (or perfect
negative) relationship between the two variablesnegative) relationship between the two variables
http://www.uic.edu/classes/psych/psych343f/lecture08.htm
![Page 4: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/4.jpg)
MagnitudeMagnitude
The absolute value for the size of the The absolute value for the size of the correlation corresponds to the magnitude correlation corresponds to the magnitude (or strength) of the relationship(or strength) of the relationship -0.85 indicates a negative correlation and the -0.85 indicates a negative correlation and the
magnitude is |-0.85| magnitude is |-0.85| 0.85 0.85
![Page 5: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/5.jpg)
DirectionDirection
Two types:Two types: Direct Correlation – Direct Correlation – positive correlation (positive positive correlation (positive
sign); as one variable increases the other variable will sign); as one variable increases the other variable will also increasealso increase
Inverse Correlation– Inverse Correlation– negative correlation (negative negative correlation (negative sign); as one variable increase the other variable will sign); as one variable increase the other variable will decreasedecrease
![Page 6: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/6.jpg)
ExamplesExamples Direct (both variables are in the same Direct (both variables are in the same
direction)direction) Height and shoe sizeHeight and shoe size Education and incomeEducation and income Happiness and helpfulnessHappiness and helpfulness
Inverse (one variable is in the opposite Inverse (one variable is in the opposite direction of the corresponding variable)direction of the corresponding variable) Depression and happinessDepression and happiness Temperature and number of clothing articles wornTemperature and number of clothing articles worn
![Page 7: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/7.jpg)
Correlation does Correlation does notnot imply Causation imply Causation
Children raised in homes with more Children raised in homes with more appliances tend to perform better in appliances tend to perform better in school. Therefore, appliances improve school. Therefore, appliances improve intelligence.intelligence.
http://btr.michaelkwan.com/2009/01/10/correlation-does-not-imply-causation/
![Page 8: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/8.jpg)
SSCP MatrixSSCP Matrix
CP formulaCP formula = (Xi-Xbar)(Yi-Ybar)= (Xi-Xbar)(Yi-Ybar)
![Page 9: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/9.jpg)
Variance-Covariance MatrixVariance-Covariance Matrix
Covariance – measure of how two Covariance – measure of how two variables varyvariables vary
Covariance formulaCovariance formula = = ∑∑ (Xi-Xbar)(Yi-Ybar) (Xi-Xbar)(Yi-Ybar)
df df
![Page 10: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/10.jpg)
Correlation FormulaCorrelation Formula
Correlation = rCorrelation = r
![Page 11: Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.](https://reader035.fdocuments.us/reader035/viewer/2022072013/56649e525503460f94b480d3/html5/thumbnails/11.jpg)
An ExampleAn Example
☻☺
What is the correlation between shoe size and height in a sample of 4 individuals?