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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Pütsep
1
69 kgLelay
2
67 kgScanlon
3
79 kgAuger
4
78 kgLabbé
6
73 kgFeillu
7
62 kg
1
69 kgLelay
2
67 kgScanlon
3
79 kgAuger
4
78 kgLabbé
6
73 kgFeillu
7
62 kg
Weight (KG) →
Result →
79
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÜTSEP Erki | 69 |
| 2 | LELAY David | 67 |
| 3 | SCANLON Mark | 79 |
| 4 | AUGER Guillaume | 78 |
| 6 | LABBÉ Arnaud | 73 |
| 7 | FEILLU Romain | 62 |