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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TESFATSION Natnael | 60 |
| 2 | MULUBRHAN Henok | 60 |
| 3 | HAYTER Leo | 66 |
| 4 | MUHOZA Eric | 62 |
| 5 | MACKELLAR Alastair | 69 |
| 9 | GOEMAN Andreas | 64 |
| 10 | APARICIO Mario | 69 |
| 11 | BOILEAU Alan | 57 |
| 12 | GOLDSTEIN Edo | 61 |
| 14 | ORMISTON Callum | 66 |
| 15 | DREGE André | 78 |
| 17 | RAISBERG Nadav | 67 |
| 19 | KESSLER Cole | 75 |