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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Boardman
1
70 kgNijdam
2
70 kgDurand
3
76 kgMarie
4
68 kgSeigneur
7
71 kgRobin
8
63 kgVasseur
9
70 kg
1
70 kgNijdam
2
70 kgDurand
3
76 kgMarie
4
68 kgSeigneur
7
71 kgRobin
8
63 kgVasseur
9
70 kg
Weight (KG) →
Result →
76
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | NIJDAM Jelle | 70 |
| 3 | DURAND Jacky | 76 |
| 4 | MARIE Thierry | 68 |
| 7 | SEIGNEUR Eddy | 71 |
| 8 | ROBIN Jean-Cyril | 63 |
| 9 | VASSEUR Cédric | 70 |