Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Maertens
3
65 kgPoulidor
4
71 kgHinault
6
62 kgVan Impe
7
59 kgPollentier
10
62 kgSchuiten
12
83 kgMerckx
15
74 kg
3
65 kgPoulidor
4
71 kgHinault
6
62 kgVan Impe
7
59 kgPollentier
10
62 kgSchuiten
12
83 kgMerckx
15
74 kg
Weight (KG) →
Result →
83
59
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MAERTENS Freddy | 65 |
| 4 | POULIDOR Raymond | 71 |
| 6 | HINAULT Bernard | 62 |
| 7 | VAN IMPE Lucien | 59 |
| 10 | POLLENTIER Michel | 62 |
| 12 | SCHUITEN Roy | 83 |
| 15 | MERCKX Eddy | 74 |