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 = 0.6 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RETSCHKE Robert | 66 |
| 3 | ANDERSON Jack | 68 |
| 4 | DUIJN Huub | 73 |
| 7 | CLAEYS Dimitri | 77 |
| 9 | FLAHAUT Denis | 66 |
| 10 | HORTON Tobyn | 70 |
| 11 | BALDO Nicolas | 73 |
| 13 | JUODVALKIS Egidijus | 73 |
| 18 | USOV Alexandre | 63 |
| 20 | OMLOOP Geert | 78 |
| 29 | BÄR Michael | 66 |
| 30 | WETTERHALL Alexander | 70 |
| 33 | KRUOPIS Aidis | 80 |
| 37 | BRUYNEEL Giel | 85 |
| 48 | DRANCOURT Pierre | 68 |