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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CÁRDENAS Félix Rafael | 59 |
| 2 | GONZÁLEZ Aitor | 69 |
| 3 | CHANTEUR Pascal | 62 |
| 4 | ROBIN Jean-Cyril | 63 |
| 8 | MONCOUTIÉ David | 69 |
| 9 | SIMON François | 70 |
| 10 | JAN Xavier | 62 |
| 11 | HEULOT Stéphane | 69 |
| 13 | ZBERG Beat | 72 |
| 15 | BÉNÉTEAU Walter | 67 |
| 16 | HALGAND Patrice | 67 |
| 17 | GUESDON Frédéric | 73 |
| 18 | ENGELS Addy | 64 |
| 19 | BROCHARD Laurent | 68 |
| 21 | PERQUE Franck | 78 |
| 22 | SAUGRAIN Cyril | 62 |