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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IVANOV Sergei | 73 |
| 2 | PEETERS Wilfried | 76 |
| 3 | VAN DE WOUWER Kurt | 66 |
| 4 | MATTAN Nico | 69 |
| 5 | WAUTERS Marc | 73 |
| 6 | PEERS Chris | 73 |
| 9 | DE WAELE Fabien | 62 |
| 10 | BOVEN Jan | 65 |
| 11 | GRABSCH Bert | 78 |
| 13 | AERTS Mario | 68 |
| 14 | VERSTREPEN Johan | 66 |
| 15 | DIERCKXSENS Ludo | 71 |
| 16 | ROESEMS Bert | 81 |
| 18 | VAN LANCKER Kurt | 67 |
| 22 | MICHAELSEN Lars | 79 |