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 = -2.4 * weight + 203
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Demol
12
72 kgChevallier
13
69 kgBernaudeau
14
64 kgIlegems
47
74 kgEarley
82
62 kgMadiot
85
68 kg
12
72 kgChevallier
13
69 kgBernaudeau
14
64 kgIlegems
47
74 kgEarley
82
62 kgMadiot
85
68 kg
Weight (KG) →
Result →
74
62
12
85
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | DEMOL Dirk | 72 |
| 13 | CHEVALLIER Philippe | 69 |
| 14 | BERNAUDEAU Jean-René | 64 |
| 47 | ILEGEMS Roger | 74 |
| 82 | EARLEY Martin | 62 |
| 85 | MADIOT Marc | 68 |