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 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HAEDO Lucas Sebastián | 64 |
| 4 | MCCABE Travis | 72 |
| 5 | CANOLA Marco | 66 |
| 6 | KOCJAN Jure | 72 |
| 7 | JARAMILLO Daniel | 63 |
| 8 | REIJNEN Kiel | 63 |
| 9 | WIPPERT Wouter | 75 |
| 11 | SUMMERHILL Daniel | 70 |
| 12 | MANNION Gavin | 58 |
| 16 | DAL-CIN Matteo | 77 |
| 17 | HORNER Chris | 70 |
| 18 | GAIMON Phillip | 67 |
| 20 | CHALAPUD Robinson | 63 |