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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRISTOFF Alexander | 78 |
| 2 | EWAN Caleb | 69 |
| 3 | BOASSON HAGEN Edvald | 75 |
| 4 | FENN Andrew | 79 |
| 5 | VAN DER SANDE Tosh | 67 |
| 6 | LAENGEN Vegard Stake | 79 |
| 7 | TRUSOV Nikolay | 77 |
| 8 | WEGMANN Fabian | 60 |
| 9 | VALLÉE Boris | 79 |
| 10 | NORDHAUG Lars Petter | 63 |
| 11 | GALTA Fredrik Strand | 78 |
| 13 | TXURRUKA Amets | 58 |
| 14 | LIGTHART Pim | 72 |
| 17 | LÓPEZ David | 68 |
| 18 | BILBAO Pello | 60 |