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Title: Indiana - Correlation and Simple Linear Regression

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Title Indiana - Correlation and Simple Linear Regression
Contributor/Contact Chandon Saha, PhD
Institution Indiana
Acknowledgment Please cite the appropriate contributors/authors/contacts when using or adapting these materials.
Format PDF slides
Attachment Correlation and Simple Linear Regression
URL_Web_Link

Type of Course Single Presentation
Level of Course Mid-level
Audience Clinical Researcher
Topics Description Biostatistics Course for Health Care Providers: A Short Course

Objectives:
1) Learn how to interpret and use correlation coefficient
2) Understand principle of fitting linear regression model
3) Learn how to interpret estimates of the model parameters and use for prediction
Software Program

Datasets

Data

Keywords Correlation analysis
Pearson correlation
Spearman rank correlation
Simple linear regression
Scatterplots for correlation
Example of correlation for height and weight
Interpretation of the size of r - explain variability
When not to use r
Assumptions about the random error
Fitting the linear model
Principle of Least Squares
Extrapolation
Causality
Simple linear regression
Residuals
Normality assumption
See Also

Type of Activity Course Slides
Disclaimer The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated.
Topic revision: r4 - 08 Oct 2012 - 14:41:12 - MaryBanach
 

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