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 = -1.3 * weight + 152
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANGEL Laurent | 83 |
| 15 | DUPONT Hubert | 57 |
| 29 | BENGSCH Robert | 85 |
| 43 | LAMPATER Leif | 75 |
| 46 | GÉRARD Arnaud | 70 |
| 51 | DEIGNAN Philip | 65 |
| 54 | ZONNEVELD Thijs | 63 |
| 63 | KUX Christian | 74 |
| 69 | MORIN Anthony | 79 |
| 73 | KRIIT Kalle | 63 |
| 82 | REID Robin | 62 |
| 84 | LODER Thierry | 62 |
| 86 | MAINGUENAUD Frédéric | 68 |
| 94 | TASHIRO Yasutaka | 54 |
| 101 | HUPOND Thierry | 65 |
| 102 | HELMINEN Matti | 74 |
| 106 | ANTOMARCHI Julien | 70 |