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 = 1.7 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Offredo
2
69 kgLemarchand
5
67 kgRossetto
6
68 kgDufrasne
14
70 kgNauleau
15
67 kgLaborie
18
67 kgLachance
23
72 kg
2
69 kgLemarchand
5
67 kgRossetto
6
68 kgDufrasne
14
70 kgNauleau
15
67 kgLaborie
18
67 kgLachance
23
72 kg
Weight (KG) →
Result →
72
67
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OFFREDO Yoann | 69 |
| 5 | LEMARCHAND Romain | 67 |
| 6 | ROSSETTO Stéphane | 68 |
| 14 | DUFRASNE Jonathan | 70 |
| 15 | NAULEAU Bryan | 67 |
| 18 | LABORIE Christophe | 67 |
| 23 | LACHANCE Jean-Michel | 72 |