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 = 2.7 * weight - 153
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Earley
5
62 kgBernaudeau
14
64 kgDemol
23
72 kgMadiot
27
68 kgIlegems
40
74 kgChevallier
61
69 kg
5
62 kgBernaudeau
14
64 kgDemol
23
72 kgMadiot
27
68 kgIlegems
40
74 kgChevallier
61
69 kg
Weight (KG) →
Result →
74
62
5
61
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | EARLEY Martin | 62 |
| 14 | BERNAUDEAU Jean-René | 64 |
| 23 | DEMOL Dirk | 72 |
| 27 | MADIOT Marc | 68 |
| 40 | ILEGEMS Roger | 74 |
| 61 | CHEVALLIER Philippe | 69 |