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 = 1.4 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Clain
3
59 kgVorganov
4
65 kgLevarlet
9
67 kgJørgensen
10
60 kgGalland
11
62 kgTronet
29
67 kg
3
59 kgVorganov
4
65 kgLevarlet
9
67 kgJørgensen
10
60 kgGalland
11
62 kgTronet
29
67 kg
Weight (KG) →
Result →
67
59
3
29
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CLAIN Médéric | 59 |
| 4 | VORGANOV Eduard | 65 |
| 9 | LEVARLET Guillaume | 67 |
| 10 | JØRGENSEN René | 60 |
| 11 | GALLAND Jérémie | 62 |
| 29 | TRONET Steven | 67 |