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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIERCKXSENS Ludo | 71 |
| 2 | VOGELS Henk | 75 |
| 3 | O'GRADY Stuart | 73 |
| 4 | CASAROTTO Davide | 74 |
| 5 | JÄRMANN Rolf | 73 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | KIRSIPUU Jaan | 80 |
| 9 | WADECKI Piotr | 70 |
| 10 | NAZON Damien | 68 |
| 11 | MAGNIEN Emmanuel | 68 |
| 12 | CASSANI Enrico | 65 |
| 13 | FEYS Wim | 80 |
| 14 | JALABERT Nicolas | 68 |
| 16 | VERSTREPEN Johan | 66 |
| 17 | PANKOV Oleg | 72 |
| 19 | RINERO Christophe | 65 |
| 20 | PEERS Chris | 73 |