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 - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGGIORATO Mirco | 58 |
| 2 | GASTAUER Ben | 73 |
| 3 | VAN GARDEREN Tejay | 72 |
| 4 | BARDET Romain | 65 |
| 5 | KERN Julian | 65 |
| 6 | EIJSSEN Yannick | 60 |
| 13 | BUTLER Chris | 61 |
| 15 | BÉRARD Julien | 70 |
| 16 | DAMUSEAU Thomas | 64 |
| 19 | PINOT Thibaut | 63 |
| 42 | PHINNEY Taylor | 82 |
| 43 | WARBASSE Larry | 67 |
| 45 | WAUTERS Willem | 66 |
| 46 | SOUPE Geoffrey | 70 |
| 53 | FUMEAUX Jonathan | 61 |
| 62 | DOMONT Axel | 65 |