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Chapter 10
Regression
4.1 What is it?
Regression analysis calculates a straight line relationship between two
variables (x and y) as follows:
y = a + bx, where y is the dependent variable and x is the independent variable
4.2 Calculation
Step 1: calculate “b”
n ∑ xy – ∑ x ∑ y
b = 2
2
(n ∑ x – ( ∑ x) )
Step 2: calculate “a”
a = y – bx
4.3 Limitations over the use of linear regression
The actual relationship between the two sets of figures may not be linear – use
the coefficient of determination to investigate further.
Even if we have a high level of correlation, this may be due to "spurious"
correlation and the presence of other causal factors
We need to be careful using the regression line to make forecasts outside of the
range of the original data ("extrapolation").
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