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 = -2.2 * weight + 193
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Bernaudeau
14
64 kgIlegems
17
74 kgDemol
21
72 kgMadiot
64
68 kgEarley
66
62 kgChevallier
80
69 kg
14
64 kgIlegems
17
74 kgDemol
21
72 kgMadiot
64
68 kgEarley
66
62 kgChevallier
80
69 kg
Weight (KG) →
Result →
74
62
14
80
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | BERNAUDEAU Jean-René | 64 |
| 17 | ILEGEMS Roger | 74 |
| 21 | DEMOL Dirk | 72 |
| 64 | MADIOT Marc | 68 |
| 66 | EARLEY Martin | 62 |
| 80 | CHEVALLIER Philippe | 69 |