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 - 12
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENIFL Stefan | 65 |
| 5 | ŠPILAK Simon | 68 |
| 6 | CAPECCHI Eros | 65 |
| 7 | KVIST Thomas Vedel | 68 |
| 8 | JANSE VAN RENSBURG Jacques | 63 |
| 9 | GESINK Robert | 70 |
| 17 | JÕEÄÄR Gert | 84 |
| 20 | BIESEK Szymon | 66 |
| 23 | PFINGSTEN Christoph | 69 |
| 26 | TAARAMÄE Rein | 73 |
| 28 | KOREN Kristijan | 72 |
| 36 | VAN AMERONGEN Thijs | 70 |
| 41 | VOß Paul | 66 |
| 53 | RUIJGH Rob | 64 |
| 68 | LUDESCHER Philipp | 72 |
| 80 | EDMÜLLER Benjamin | 70 |