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 + 65
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MANGEL Laurent | 83 |
| 10 | GÉRARD Arnaud | 70 |
| 13 | ZONNEVELD Thijs | 63 |
| 19 | MAINGUENAUD Frédéric | 68 |
| 33 | LAMPATER Leif | 75 |
| 35 | REID Robin | 62 |
| 36 | LODER Thierry | 62 |
| 42 | DEIGNAN Philip | 65 |
| 44 | DUPONT Hubert | 57 |
| 53 | HELMINEN Matti | 74 |
| 68 | ANTOMARCHI Julien | 70 |
| 69 | KUX Christian | 74 |
| 73 | KRIIT Kalle | 63 |
| 83 | MORIN Anthony | 79 |
| 85 | BENGSCH Robert | 85 |
| 95 | TASHIRO Yasutaka | 54 |
| 102 | HUPOND Thierry | 65 |