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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | LISSON Christoffer | 73 |
| 4 | BRAUN Julian | 76 |
| 5 | GUERNALEC Thibault | 71 |
| 6 | GENIETS Kevin | 73 |
| 9 | WINTER Laurin | 72 |
| 13 | BURGAUDEAU Mathieu | 61 |
| 14 | PETELIN Jan | 67 |
| 20 | SHAUCHENKA Siarhei | 74 |
| 23 | AVOINE Kévin | 70 |
| 27 | GUÉGAN Maël | 71 |