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 = 0.5 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bernaudeau
6
64 kgIlegems
17
74 kgEarley
28
62 kgMadiot
30
68 kgDemol
31
72 kgChevallier
40
69 kg
6
64 kgIlegems
17
74 kgEarley
28
62 kgMadiot
30
68 kgDemol
31
72 kgChevallier
40
69 kg
Weight (KG) →
Result →
74
62
6
40
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BERNAUDEAU Jean-René | 64 |
| 17 | ILEGEMS Roger | 74 |
| 28 | EARLEY Martin | 62 |
| 30 | MADIOT Marc | 68 |
| 31 | DEMOL Dirk | 72 |
| 40 | CHEVALLIER Philippe | 69 |