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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EECKHOUT Niko | 73 |
| 2 | VAN BON Léon | 72 |
| 3 | MICHAELSEN Lars | 79 |
| 4 | FEYS Wim | 80 |
| 5 | HOLM SØRENSEN Brian | 77 |
| 6 | PEETERS Wilfried | 76 |
| 8 | FRASER Gordon | 71 |
| 9 | PEERS Chris | 73 |
| 12 | KOERTS Jans | 78 |
| 13 | PLANCKAERT Jo | 70 |
| 14 | BOMANS Carlo | 74 |
| 16 | PIZIKS Arvis | 70 |