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.
Duval
1
68 kgLecuisinier
2
65 kgSénéchal
5
77 kgBarbier
8
79 kgTronet
9
67 kgGonçalves
10
70 kg
1
68 kgLecuisinier
2
65 kgSénéchal
5
77 kgBarbier
8
79 kgTronet
9
67 kgGonçalves
10
70 kg
Weight (KG) →
Result →
79
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUVAL Julien | 68 |
| 2 | LECUISINIER Pierre-Henri | 65 |
| 5 | SÉNÉCHAL Florian | 77 |
| 8 | BARBIER Rudy | 79 |
| 9 | TRONET Steven | 67 |
| 10 | GONÇALVES José | 70 |