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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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