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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN GILS Maxim | 63 |
| 2 | WELLENS Tim | 71 |
| 3 | SIVAKOV Pavel | 70 |
| 4 | SOLER Marc | 68 |
| 5 | BERTHET Clément | 68 |
| 6 | LEKNESSUND Andreas | 72 |
| 7 | CRAS Steff | 65 |
| 8 | PIDCOCK Thomas | 58 |
| 9 | ARRIETA Igor | 64 |
| 11 | STAUNE-MITTET Johannes | 67 |
| 12 | HOELGAARD Markus | 74 |
| 13 | LABROSSE Jordan | 65 |
| 14 | SILVA Guillermo Thomas | 64 |
| 15 | JOHANNESSEN Tobias Halland | 62 |