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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Yates
1
74 kgMuseeuw
3
71 kgMarie
4
68 kgBugno
7
68 kgWampers
11
82 kgNijdam
12
70 kgBomans
14
74 kgBruyneel
17
71 kg
1
74 kgMuseeuw
3
71 kgMarie
4
68 kgBugno
7
68 kgWampers
11
82 kgNijdam
12
70 kgBomans
14
74 kgBruyneel
17
71 kg
Weight (KG) →
Result →
82
68
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Sean | 74 |
| 3 | MUSEEUW Johan | 71 |
| 4 | MARIE Thierry | 68 |
| 7 | BUGNO Gianni | 68 |
| 11 | WAMPERS Jean-Marie | 82 |
| 12 | NIJDAM Jelle | 70 |
| 14 | BOMANS Carlo | 74 |
| 17 | BRUYNEEL Johan | 71 |