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 + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TCHMIL Andrei | 75 |
| 2 | ULLRICH Jan | 73 |
| 3 | ROUS Didier | 70 |
| 4 | VOGELS Henk | 75 |
| 5 | KASPUTIS Artūras | 83 |
| 10 | HALGAND Patrice | 67 |
| 12 | DE VRIES Gerrit | 75 |
| 15 | VAN DER POEL Adrie | 70 |
| 18 | CAPELLE Christophe | 73 |
| 19 | BROCHARD Laurent | 68 |