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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAUMONT Philippe | 77 |
| 2 | JALABERT Nicolas | 68 |
| 3 | SIMON François | 70 |
| 4 | BARTHE Stéphane | 65 |
| 6 | MORI Massimiliano | 77 |
| 8 | VANSEVENANT Wim | 65 |
| 9 | VERSTREPEN Johan | 66 |
| 10 | BROCHARD Laurent | 68 |
| 11 | MORIN Anthony | 79 |
| 12 | HALGAND Patrice | 67 |
| 13 | HINAULT Sébastien | 63 |
| 14 | COMMESSO Salvatore | 66 |
| 16 | BOUVARD Gilles | 70 |
| 17 | MICHAELSEN Lars | 79 |
| 19 | MORENI Cristian | 65 |
| 20 | FEYS Wim | 80 |