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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINEZ José Alberto | 67 |
| 2 | STREEL Marc | 69 |
| 4 | MAIGNAN Gilles | 63 |
| 7 | MONCASSIN Frédéric | 73 |
| 8 | BARTHE Stéphane | 65 |
| 9 | PIZIKS Arvis | 70 |
| 11 | JALABERT Nicolas | 68 |
| 13 | COMMESSO Salvatore | 66 |
| 14 | BERGÈS Stéphane | 68 |
| 15 | HALGAND Patrice | 67 |
| 18 | VANSEVENANT Wim | 65 |
| 20 | CHANTEUR Pascal | 62 |