Page 20 - Statistics presented by Dr. Sara Ismail Aborass

9/8/2023

Correlation and Regression

Correlation describes the strength of a linear relationship between two
variables

Linear means “straight line”

Regression tells us how to draw the straight line described by the

correlation slope

Variable (dependant) y = a + bx Variable (independant)

intercept
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Regression Analyses

 Regression: technique concerned with predicting some variables by
knowing others
Serial dilution of stds  calibration curve, r  sample analysis

 The process of predicting variable x using variable y

Simple Linear Regression Model

 Only one independent variable, x
 Relationship between x and y is described by a linear function
 Changes in y are assumed to be caused by changes in x (line y on x)

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