Coding is a method of transforming data so that the numbers are easier to manipulate. Numbers that are not too small and not too large are easier to work with, so if the raw data we start with consists of large numbers for example – and finding the standard deviation or variance will make them even larger, since we must find - we may wish to make them smaller using a coding relationship of the form
and
where
and
are the original data and
and
the transformed data. We can then do the calculations, finding the correlation coefficient, the equation of the regression line for the transformed data. We have to transform back to the original variables
and
using the original coding relationship. The correlation coefficient is unaltered- the correlation coefficient for the relationship between
and
is the same as that for the relationship between
and
Example: A company owns two petrol stationsand
along a main road. Total daily sales in the same week for
(£
) and for
(£
) are summarised in the table below.
|
|
|
Monday |
4760 |
5380 |
Tuesday |
5395 |
4460 |
Wednesday |
5840 |
4640 |
Thursday |
4650 |
5450 |
Friday |
5365 |
4340 |
Saturday |
4990 |
5550 |
Sunday |
4365 |
5840 |
The data are coded using the relationshipand
obtaining the new table below.
|
P |
q |
Monday |
3.95 |
1.04 |
Tuesday |
1.03 |
1.2 |
Wednesday |
1.475 |
3 |
Thursday |
2.85 |
1.11 |
Friday |
10 |
0 |
Saturday |
6.25 |
1.21 |
Sunday |
0 |
1.5 |
The summary statistics for the table above are:
where
SoWe have to transform back to the original variables
and
Rearrangement of this equation givesThe negative sign means the two petrol stations are partially in competition – if one sells more, the other sells less.